Triple
T1806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Manchester |
E33
|
entity |
| Predicate | hasLibrary |
P35
|
FINISHED |
| Object |
John Rylands University Library
John Rylands University Library is the main academic library of the University of Manchester, renowned for its extensive research collections and historic special holdings.
|
E121
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: John Rylands University Library | Statement: [University of Manchester, hasLibrary, John Rylands University Library]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Rylands University Library Context triple: [University of Manchester, hasLibrary, John Rylands University Library]
-
A.
University of Manchester
The University of Manchester is a major public research university in Manchester, England, renowned for its contributions to science, engineering, and innovation.
-
B.
Harvard Library
Harvard Library is the extensive academic library system of Harvard University, recognized as one of the largest and most comprehensive research library networks in the world.
-
C.
MIT Libraries
MIT Libraries is the academic library system of the Massachusetts Institute of Technology, supporting research, teaching, and learning across science, engineering, and related fields.
-
D.
Metropolitan Museum of Art
The Metropolitan Museum of Art is one of the world’s largest and most renowned art museums, housing an extensive collection spanning thousands of years and cultures.
-
E.
Las Campanas Observatory
Las Campanas Observatory is a major astronomical observatory in Chile renowned for its high-quality observing conditions and its role in cutting-edge optical and infrared astronomy.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: John Rylands University Library Triple: [University of Manchester, hasLibrary, John Rylands University Library]
Generated description
John Rylands University Library is the main academic library of the University of Manchester, renowned for its extensive research collections and historic special holdings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Rylands University Library Target entity description: John Rylands University Library is the main academic library of the University of Manchester, renowned for its extensive research collections and historic special holdings.
-
A.
University of Manchester
The University of Manchester is a major public research university in Manchester, England, renowned for its contributions to science, engineering, and innovation.
-
B.
Harvard Library
Harvard Library is the extensive academic library system of Harvard University, recognized as one of the largest and most comprehensive research library networks in the world.
-
C.
MIT Libraries
MIT Libraries is the academic library system of the Massachusetts Institute of Technology, supporting research, teaching, and learning across science, engineering, and related fields.
-
D.
Metropolitan Museum of Art
The Metropolitan Museum of Art is one of the world’s largest and most renowned art museums, housing an extensive collection spanning thousands of years and cultures.
-
E.
Las Campanas Observatory
Las Campanas Observatory is a major astronomical observatory in Chile renowned for its high-quality observing conditions and its role in cutting-edge optical and infrared astronomy.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLibrary Context triple: [University of Manchester, hasLibrary, John Rylands University Library]
-
A.
hasFeature
Indicates that an entity possesses, exhibits, or includes a particular characteristic, attribute, or component.
-
B.
hasPart
chosen
Indicates that one entity is a component, segment, or constituent part of another entity.
-
C.
hasLegacy
Indicates that an entity leaves behind a lasting impact, influence, or inheritance that continues to exist or be recognized over time.
-
D.
hasCharacteristic
Indicates that an entity possesses, exhibits, or is defined by a particular attribute, feature, or quality.
-
E.
hasRepresentationIn
Indicates that one entity is represented, depicted, or encoded within another entity, such as a concept, object, or data structure having a corresponding representation in a specific medium or context.
- F. None of above.
Provenance (6 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a22a285828819081a58308fb963df1 |
completed | Feb. 27, 2026, 11:35 p.m. |
| NER | Named-entity recognition | batch_69a23344daf8819083118bbac5f46568 |
completed | Feb. 28, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a238e23e0881909815d2dad067d7a1 |
completed | Feb. 28, 2026, 12:37 a.m. |
| NEDg | Description generation | batch_69a23ab3a1f481908407d4648bbf3f86 |
completed | Feb. 28, 2026, 12:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a23b736e388190956fa92a68d25866 |
completed | Feb. 28, 2026, 12:48 a.m. |
| PD | Predicate disambiguation | batch_69a232e52e7c81909c072703e28e8c61 |
completed | Feb. 28, 2026, 12:12 a.m. |
Created at: Feb. 27, 2026, 11:36 p.m.