Triple

T7587137
Position Surface form Disambiguated ID Type / Status
Subject OSSE E179642 entity
Predicate abbreviation P43 FINISHED
Object OSSE E179642 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: OSSE | Statement: [OSSE, abbreviation, OSSE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OSSE
Context triple: [OSSE, abbreviation, OSSE]
  • A. OSSE chosen
    OSSE is the District of Columbia’s state education agency responsible for overseeing public education policies, programs, and accountability across the city.
  • B. OSE
    OSE is the abbreviation for the Osaka Securities Exchange, a major Japanese stock exchange based in Osaka.
  • C. OSE
    OSE is the Oslo Stock Exchange, Norway’s primary securities market for trading shares, bonds, and other financial instruments.
  • D. Oss
    Oss is a municipality and industrial city in the southern Netherlands, known historically for its pharmaceutical and meat-processing industries.
  • E. OSO
    OSO is the commonly used abbreviation for the Office of SIGINT Operations, a signals intelligence unit within the U.S. National Security Agency.
  • 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_69c69f335248819093c1006f30513708 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9970efc8190b1b9286d86331359 completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86186ce4481908e528c57cdd07d2d completed March 28, 2026, 11:17 p.m.
Created at: March 27, 2026, 3:52 p.m.