Triple

T22763298
Position Surface form Disambiguated ID Type / Status
Subject SASC E563049 entity
Predicate abbreviation P43 FINISHED
Object SASC NE NERFINISHED

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: SASC | Statement: [SASC, abbreviation, SASC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SASC
Context triple: [SASC, abbreviation, SASC]
  • A. SASC chosen
    SASC is the commonly used acronym for the United States Senate Committee on Armed Services, the congressional body responsible for oversight of the U.S. Department of Defense and the nation’s military policies.
  • B. SASF
    SASF is the abbreviation for the South African Special Forces Brigade, an elite special operations unit of the South African National Defence Force.
  • C. SACS
    SACS is a regional accrediting body in the United States that evaluates and certifies the quality and standards of educational institutions in the southern states.
  • D. SACC
    SACC is the commonly used acronym for the South African Council of Churches, a leading ecumenical body representing Christian denominations in South Africa.
  • E. SACL
    SACL is the corporate entity responsible for operating and managing Sydney Airport in Australia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a7dd9348190ba7c74362ad30b1e completed April 29, 2026, 3:26 a.m.
Created at: April 17, 2026, 3:26 p.m.