Triple
T137343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MARC Train |
E2774
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | MARC |
E16027
|
NE FINISHED |
How this triple was built (2 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: MARC | Statement: [MARC Train, abbreviation, MARC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MARC Context triple: [MARC Train, abbreviation, MARC]
-
A.
MARC
chosen
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.
Library of Congress catalogers
Library of Congress catalogers are professional librarians and metadata specialists at the U.S. Library of Congress who create and maintain authoritative bibliographic records for materials in its collections.
-
D.
Library of Congress Control Number
The Library of Congress Control Number is a unique identification system used by the Library of Congress to catalog and organize bibliographic records for books and other materials.
-
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.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a2521e35c08190b28e5c9f1e3c9b59 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257a6cab88190944c8f74d8d1605c |
completed | Feb. 28, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2b4bad1a0819098459e2a9d6b8d2a |
completed | Feb. 28, 2026, 9:26 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.