Triple

T11284452
Position Surface form Disambiguated ID Type / Status
Subject Defense Health Agency E267149 entity
Predicate alsoKnownAs P39 FINISHED
Object DHA E915394 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: DHA | Statement: [Defense Health Agency, alsoKnownAs, DHA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DHA
Context triple: [Defense Health Agency, alsoKnownAs, DHA]
  • A. DHA chosen
    DHA is the U.S. Department of Defense agency responsible for managing and integrating healthcare services for military personnel, retirees, and their families worldwide.
  • B. DHA
    DHA is the vehicle registration code used on motor vehicles registered in Dhaka, the capital city of Bangladesh.
  • C. BHA
    BHA is the governing and regulatory body for horseracing in Great Britain, overseeing the sport’s rules, integrity, and welfare standards.
  • D. BHA
    BHA is the internal codename Apple used for the Power Macintosh 7100 personal computer model.
  • E. Noitamina
    Noitamina is a Fuji TV late-night anime programming block in Japan known for showcasing high-quality, often unconventional and character-driven series aimed at a broader audience beyond typical anime demographics.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9855e8881909bd301718cbd8ca1 completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a18ef88819095905fe726e07053 completed April 19, 2026, 5 p.m.
Created at: April 8, 2026, 9:31 p.m.