Triple
T214297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MARC standards |
E4784
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object |
UNIMARC
UNIMARC is an international variant of the MARC bibliographic format designed to facilitate the exchange and interpretation of library cataloging data across different countries and systems.
|
E4784
|
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: UNIMARC | Statement: [MARC standards, hasComponent, UNIMARC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UNIMARC Context triple: [MARC standards, hasComponent, UNIMARC]
-
A.
MARC
MARC is a commuter rail service in Maryland that connects Washington, D.C. with Baltimore and other regional destinations.
-
B.
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.
-
C.
BIBFRAME
BIBFRAME (Bibliographic Framework) is a linked data model and standard developed by the Library of Congress to replace MARC for describing and sharing bibliographic information on the web.
-
D.
Z39.50
Z39.50 is a client-server protocol used primarily by libraries and information services to search and retrieve bibliographic and related data from remote databases in a standardized way.
-
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: UNIMARC Triple: [MARC standards, hasComponent, UNIMARC]
Generated description
UNIMARC is an international variant of the MARC bibliographic format designed to facilitate the exchange and interpretation of library cataloging data across different countries and systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UNIMARC Target entity description: UNIMARC is an international variant of the MARC bibliographic format designed to facilitate the exchange and interpretation of library cataloging data across different countries and systems.
-
A.
MARC
MARC is a commuter rail service in Maryland that connects Washington, D.C. with Baltimore and other regional destinations.
-
B.
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.
-
C.
BIBFRAME
BIBFRAME (Bibliographic Framework) is a linked data model and standard developed by the Library of Congress to replace MARC for describing and sharing bibliographic information on the web.
-
D.
Z39.50
Z39.50 is a client-server protocol used primarily by libraries and information services to search and retrieve bibliographic and related data from remote databases in a standardized way.
-
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.
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_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_69a34766506c8190a4c661410e0d8b33 |
completed | Feb. 28, 2026, 7:52 p.m. |
| NEDg | Description generation | batch_69a34c38fc2881908afe5d3ef34db98e |
completed | Feb. 28, 2026, 8:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a34ca4faec8190bd09fa0e87fe0bd5 |
completed | Feb. 28, 2026, 8:14 p.m. |
Created at: Feb. 28, 2026, 2:52 a.m.