Triple

T3053070
Position Surface form Disambiguated ID Type / Status
Subject MARCORLOGCOM E60415 entity
Predicate abbreviation P43 FINISHED
Object MARCORLOGCOM E60415 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: MARCORLOGCOM | Statement: [MARCORLOGCOM, abbreviation, MARCORLOGCOM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MARCORLOGCOM
Context triple: [MARCORLOGCOM, abbreviation, MARCORLOGCOM]
  • A. MARCORLOGCOM chosen
    MARCORLOGCOM is the U.S. Marine Corps’ primary logistics command responsible for providing worldwide supply, maintenance, and distribution support to Marine operating forces.
  • B. KORMARC
    KORMARC is the Korean implementation of the MARC bibliographic data format standard used for cataloging and exchanging library records in Korea.
  • C. CMARC
    CMARC is the Chinese Machine-Readable Cataloging format, a localized variant of the MARC bibliographic standard used primarily in Chinese-language library cataloging systems.
  • D. CompuMark
    CompuMark is a trademark research and brand protection company that provides data and analytics services to help businesses manage and safeguard their intellectual property portfolios.
  • E. Loggos
    Loggos is a small, picturesque coastal village on the Greek island of Paxos, known for its harbor, traditional tavernas, and relaxed atmosphere.
  • 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_69ad8578137c81908259dcb27c7d6d7c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9bf3c52c8190bbe8e5cb98c21715 completed March 8, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef00630c8190a3b5b2854350ecb9 completed March 11, 2026, 10:38 p.m.
Created at: March 8, 2026, 3:01 p.m.