Triple

T17994491
Position Surface form Disambiguated ID Type / Status
Subject OACPS E430465 entity
Predicate acronym P43 FINISHED
Object OACPS NE NERFINISHED

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: OACPS | Statement: [OACPS, acronym, OACPS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OACPS
Context triple: [OACPS, acronym, OACPS]
  • A. OACPS chosen
    OACPS is an intergovernmental organization that brings together African, Caribbean, and Pacific countries to promote sustainable development and cooperation, particularly in partnership with the European Union.
  • B. OAC
    OAC is the Amtrak station code for the Oakland Coliseum station serving rail passengers in Oakland, California.
  • C. OAC
    OAC is the commonly used abbreviation for the Ohio Athletic Conference, an NCAA Division III collegiate athletic conference based in Ohio.
  • D. OAC
    OAC is the acronym for Taiwan’s Ocean Affairs Council, the government body responsible for formulating and coordinating the nation’s maritime and ocean-related policies.
  • E. OACA
    OACA is the Tunisian civil aviation and airports authority responsible for regulating air transport and managing the country’s main airports.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b3e29490819090ff221e7d7a9ddd completed April 19, 2026, 10:52 a.m.
Created at: April 10, 2026, 10:23 a.m.