Triple

T12783456
Position Surface form Disambiguated ID Type / Status
Subject MC252 E305564 entity
Predicate operator P179 FINISHED
Object BP E93325 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: BP | Statement: [MC252, operator, BP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BP
Context triple: [MC252, operator, BP]
  • A. BP
    BP is a common abbreviation for Batu Pahat, a coastal town and district in the state of Johor, Malaysia.
  • B. BP chosen
    BP is a multinational oil and gas company headquartered in London and one of the world’s largest energy producers.
  • C. BP.
    BP is a Nordstrom-exclusive in-house fashion brand known for its trendy, youth-oriented clothing and accessories.
  • D. BP America
    BP America is the U.S.-based subsidiary of the global energy company BP, responsible for its exploration, production, refining, and marketing operations in the United States.
  • E. BOP
    BOP is the acronym for the United States Federal Bureau of Prisons, the federal agency responsible for the custody and care of individuals incarcerated in federal prisons.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e5cb3c08190b8e1e22de8b96e17 completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8c75a048190aee92e50017c214e completed May 3, 2026, 2:53 a.m.
Created at: April 9, 2026, 5:29 p.m.