Triple

T8906011
Position Surface form Disambiguated ID Type / Status
Subject New York City Office of Management and Budget E212058 entity
Predicate hasAbbreviation P43 FINISHED
Object OMB E212058 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: OMB | Statement: [New York City Office of Management and Budget, hasAbbreviation, OMB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OMB
Context triple: [New York City Office of Management and Budget, hasAbbreviation, OMB]
  • A. OMB chosen
    OMB is the New York City Office of Management and Budget, the municipal agency responsible for preparing and overseeing the city's annual budget and financial plan.
  • B. OMGUS
    OMGUS was the U.S. military government authority that administered occupied Germany after World War II, overseeing denazification, democratization, and reconstruction.
  • C. UMB
    UMB is a public research university located on the waterfront in Boston, Massachusetts, known for its diverse student body and strong programs in liberal arts, sciences, and professional studies.
  • D. UMB
    UMB is the Indian Railways station code for Ambala Cantonment, a major railway junction in Haryana, India.
  • E. OPM
    OPM is the United States federal agency responsible for managing the civil service, including federal employee hiring, benefits, and human resources policy.
  • 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_69ca839255248190b43984294abd92ae completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc64c3d83081909f181bfd601eaf99 completed April 1, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1cb724c8190bc080d2a7f751e60 completed April 3, 2026, 1:34 p.m.
Created at: March 30, 2026, 6:55 p.m.