Triple

T1734271
Position Surface form Disambiguated ID Type / Status
Subject Office of Habitat Conservation E37885 entity
Predicate hasAcronym P43 FINISHED
Object OHC E37885 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: OHC | Statement: [Office of Habitat Conservation, hasAcronym, OHC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OHC
Context triple: [Office of Habitat Conservation, hasAcronym, OHC]
  • A. OHC chosen
    OHC is the acronym for the Office of Habitat Conservation, a division focused on protecting and restoring vital natural habitats.
  • B. OKH
    OKH (Oberkommando des Heeres) was the German Army High Command responsible for directing land operations for Nazi Germany during much of World War II.
  • C. OMH
    OMH is the commonly used abbreviation for the New York State Office of Mental Health, the state agency responsible for overseeing public mental health services in New York.
  • D. OH
    OH is the official United States Postal Service abbreviation for the state of Ohio.
  • E. HLC
    HLC is the commonly used abbreviation for the Harvard Longwood Campus, a major Harvard University hub for medical and public health education and research in Boston.
  • 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_69a8861cc6ac8190ac0b2e31ccf62851 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63a2168c819093d302632ff4b7c2 completed March 6, 2026, 5:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0d999148190a889f761af05f431 completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:30 p.m.