Triple

T12029157
Position Surface form Disambiguated ID Type / Status
Subject Office of Management and Budget E286356 entity
Predicate abbreviation 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: [Office of Management and Budget, abbreviation, OMB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OMB
Context triple: [Office of Management and Budget, abbreviation, 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. OMBS
    OMBS is the post-nominal abbreviation used by recipients of South Africa’s Order of Mendi for Bravery.
  • C. OMGUS
    OMGUS was the U.S. military government authority that administered occupied Germany after World War II, overseeing denazification, democratization, and reconstruction.
  • D. UMB
    UMB is the Indian Railways station code for Ambala Cantonment, a major railway junction in Haryana, India.
  • E. UMB
    UMB is the commonly used abbreviation for Matej Bel University, a public higher education institution in Banská Bystrica, Slovakia.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903f13ae8819097a5740f7c51df82 completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48b8d37ec81908d4a1668e932ca5b completed May 1, 2026, 11:16 a.m.
Created at: April 8, 2026, 9:47 p.m.