Triple
T2291920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mason Laboratory |
E51522
|
entity |
| Predicate | category |
P87
|
FINISHED |
| Object |
School of Engineering & Applied Science buildings
School of Engineering & Applied Science buildings are specialized academic facilities that house engineering and applied science departments, laboratories, classrooms, and research centers within a university.
|
E254427
|
NE FINISHED |
How this triple was built (4 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: School of Engineering & Applied Science buildings | Statement: [Mason Laboratory, category, School of Engineering & Applied Science buildings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: School of Engineering & Applied Science buildings Context triple: [Mason Laboratory, category, School of Engineering & Applied Science buildings]
-
A.
School of Engineering and Applied Science
The School of Engineering and Applied Science at the University of Pennsylvania is the university’s engineering school, offering undergraduate and graduate programs in fields such as computer science, bioengineering, electrical engineering, and mechanical engineering.
-
B.
School of Engineering and Applied Science
The School of Engineering and Applied Science is the University of Virginia’s engineering college, offering undergraduate and graduate programs in engineering and related technical fields.
-
C.
School of Engineering and Applied Science
The School of Engineering and Applied Science is Princeton University's engineering division, offering undergraduate and graduate programs in fields such as computer science, electrical engineering, mechanical engineering, and related applied sciences.
-
D.
School of Engineering and Applied Science
The School of Engineering and Applied Science is George Washington University's engineering college, offering undergraduate and graduate programs in fields such as engineering, computer science, and applied sciences.
-
E.
School of Engineering and Applied Sciences
The School of Engineering and Applied Sciences is Harvard University's engineering and applied sciences school, offering interdisciplinary research and education in fields spanning computer science, engineering, and applied mathematics.
- 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: School of Engineering & Applied Science buildings Triple: [Mason Laboratory, category, School of Engineering & Applied Science buildings]
Generated description
School of Engineering & Applied Science buildings are specialized academic facilities that house engineering and applied science departments, laboratories, classrooms, and research centers within a university.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: School of Engineering & Applied Science buildings Target entity description: School of Engineering & Applied Science buildings are specialized academic facilities that house engineering and applied science departments, laboratories, classrooms, and research centers within a university.
-
A.
School of Engineering and Applied Science
The School of Engineering and Applied Science at the University of Pennsylvania is the university’s engineering school, offering undergraduate and graduate programs in fields such as computer science, bioengineering, electrical engineering, and mechanical engineering.
-
B.
School of Engineering and Applied Science
The School of Engineering and Applied Science is the University of Virginia’s engineering college, offering undergraduate and graduate programs in engineering and related technical fields.
-
C.
School of Engineering and Applied Science
The School of Engineering and Applied Science is Princeton University's engineering division, offering undergraduate and graduate programs in fields such as computer science, electrical engineering, mechanical engineering, and related applied sciences.
-
D.
School of Engineering and Applied Science
The School of Engineering and Applied Science is George Washington University's engineering college, offering undergraduate and graduate programs in fields such as engineering, computer science, and applied sciences.
-
E.
School of Engineering and Applied Sciences
The School of Engineering and Applied Sciences is Harvard University's engineering and applied sciences school, offering interdisciplinary research and education in fields spanning computer science, engineering, and applied mathematics.
- F. None of above. chosen
Provenance (5 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc5b50df481908a3d8f71d245e8fa |
completed | March 7, 2026, 6:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f23ca34819091d2bb0d41613b4a |
completed | March 9, 2026, 8:04 a.m. |
| NEDg | Description generation | batch_69ae82aa6d7c81909cb770ea2be10b2a |
completed | March 9, 2026, 8:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae837e392c8190baa7552ce8c14995 |
completed | March 9, 2026, 8:23 a.m. |
Created at: March 4, 2026, 7:48 p.m.