Triple

T11157247
Position Surface form Disambiguated ID Type / Status
Subject Office of Peace Operations, Sanctions, and Counterterrorism E263941 entity
Predicate shortName P43 FINISHED
Object OPS E263941 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: OPS | Statement: [Office of Peace Operations, Sanctions, and Counterterrorism, shortName, OPS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OPS
Context triple: [Office of Peace Operations, Sanctions, and Counterterrorism, shortName, OPS]
  • A. OPS
    OPS is the commonly used abbreviation for Oxford Plains Speedway, a well-known short-track auto racing venue in Oxford, Maine.
  • B. OPS chosen
    OPS is the abbreviated name for the Office of Peace Operations, Sanctions, and Counterterrorism, a U.S. State Department bureau focused on peacekeeping, sanctions policy, and counterterrorism efforts.
  • C. OP
    OP is the official acronym for the Office of the President of the Philippines, the executive office that supports and assists the President in governing the country.
  • D. OPSG
    OPSG is a U.S. federal grant program that provides funding to state, local, and tribal law enforcement agencies to enhance border security and cooperation along international land and water borders.
  • E. OPP
    OPP is a division within the Technology Transformation Services focused on managing and delivering digital products and programs across the U.S. federal government.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e87fe9a881909540ecc4ed9b6b9f completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4836718a08190b8eae87ce91bbfa0 completed April 19, 2026, 7:25 a.m.
Created at: April 8, 2026, 9:28 p.m.