Triple

T11610612
Position Surface form Disambiguated ID Type / Status
Subject Commission on Audit E275373 entity
Predicate shortName P43 FINISHED
Object COA E275373 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: COA | Statement: [Commission on Audit, shortName, COA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: COA
Context triple: [Commission on Audit, shortName, COA]
  • A. COA chosen
    COA is the acronym for the Commission on Audit, the independent constitutional body in the Philippines responsible for auditing government funds and properties.
  • B. COA
    COA is the ICAO airline designator formerly used by Continental Airlines, a major U.S. carrier that merged with United Airlines.
  • C. CoA+A
    CoA+A is the commonly used abbreviation for the College of Arts + Architecture, an academic unit focused on disciplines such as visual arts, design, and performance.
  • D. COAS
    COAS is the commonly used abbreviation for the Chief of the Army Staff, the professional head of the Indian Army.
  • E. ECOA
    ECOA is a U.S. federal law that prohibits discrimination in credit transactions based on characteristics such as race, sex, marital status, religion, national origin, age, or receipt of public assistance.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a043a3c08190a20cbc2ba5a8d218 completed April 10, 2026, 7:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a8311bcc8190a3fe7d28c593aea3 completed April 22, 2026, 10:51 a.m.
Created at: April 8, 2026, 9:38 p.m.