Triple
T214318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MARC standards |
E4784
|
entity |
| Predicate | primaryEncoding |
P1444
|
FINISHED |
| Object |
ISO 2709
ISO 2709 is an international standard that defines the format for the structure and exchange of bibliographic records in machine-readable form.
|
E4784
|
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: ISO 2709 | Statement: [MARC standards, primaryEncoding, ISO 2709]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ISO 2709 Context triple: [MARC standards, primaryEncoding, ISO 2709]
-
A.
MARC standards
MARC standards are a set of bibliographic data formats used worldwide to structure and exchange library catalog information in a consistent, machine-readable way.
-
B.
MARC
MARC is a commuter rail service in Maryland that connects Washington, D.C. with Baltimore and other regional destinations.
-
C.
ISO 15022
ISO 15022 is an international standard that defines a structured, machine-readable format for securities messaging used globally in financial markets.
-
D.
International Standard Serial Number
The International Standard Serial Number (ISSN) is an eight-digit code used worldwide to uniquely identify serial publications such as journals, magazines, and newspapers.
-
E.
Library of Congress Classification
Library of Congress Classification is a comprehensive alphanumeric library classification system used primarily by academic and research libraries to organize and arrange their collections by subject.
- 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: ISO 2709 Triple: [MARC standards, primaryEncoding, ISO 2709]
Generated description
ISO 2709 is an international standard that defines the format for the structure and exchange of bibliographic records in machine-readable form.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ISO 2709 Target entity description: ISO 2709 is an international standard that defines the format for the structure and exchange of bibliographic records in machine-readable form.
-
A.
MARC standards
chosen
MARC standards are a set of bibliographic data formats used worldwide to structure and exchange library catalog information in a consistent, machine-readable way.
-
B.
MARC
MARC is a commuter rail service in Maryland that connects Washington, D.C. with Baltimore and other regional destinations.
-
C.
ISO 15022
ISO 15022 is an international standard that defines a structured, machine-readable format for securities messaging used globally in financial markets.
-
D.
International Standard Serial Number
The International Standard Serial Number (ISSN) is an eight-digit code used worldwide to uniquely identify serial publications such as journals, magazines, and newspapers.
-
E.
Library of Congress Classification
Library of Congress Classification is a comprehensive alphanumeric library classification system used primarily by academic and research libraries to organize and arrange their collections by subject.
- F. None of above.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryEncoding Context triple: [MARC standards, primaryEncoding, ISO 2709]
-
A.
primaryMode
Indicates the main or most commonly used method, manner, or form in which an action, process, or interaction is carried out between entities.
-
B.
primaryLanguageOf
Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
-
C.
primaryAlignment
Indicates the main or most significant way in which one entity is aligned, associated, or in agreement with another entity, standard, or category.
-
D.
encodedIn
chosen
Indicates that one entity is represented, stored, or expressed within another entity using a specific encoding or format.
-
E.
encodingBasisFor
Indicates that one encoding scheme serves as the foundational or reference basis for defining or interpreting another encoding.
- 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_69a2575cb1dc8190a01ad332426dc339 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c32ae208190a03d504ef43ea659 |
completed | Feb. 28, 2026, 3:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a33e3f66888190a05ddcb0af4d3c5f |
completed | Feb. 28, 2026, 7:13 p.m. |
| NEDg | Description generation | batch_69a33ee88af08190bfe81fba01856829 |
completed | Feb. 28, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a34295afa88190aae0d75a337967e3 |
completed | Feb. 28, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69a25b509400819093a6c1a1bac861e3 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:52 a.m.