Triple

T12098503
Position Surface form Disambiguated ID Type / Status
Subject PanSALB E288130 entity
Predicate abbreviation P43 FINISHED
Object PanSALB E288130 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: PanSALB | Statement: [PanSALB, abbreviation, PanSALB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PanSALB
Context triple: [PanSALB, abbreviation, PanSALB]
  • A. PanSALB chosen
    PanSALB is a South African statutory body responsible for promoting and protecting the country’s official and marginalized languages.
  • B. SALA
    SALA is an arts festival, known as the South Australian Living Artists Festival, that showcases visual art across venues throughout South Australia.
  • C. SAL
    SAL is the standard abbreviation for Salavat Yulaev Ufa, a professional ice hockey team based in Ufa, Russia, that competes in the Kontinental Hockey League (KHL).
  • D. SAL
    SAL is the three-letter IATA airport code for El Salvador International Airport, the main international gateway to El Salvador.
  • E. SAL
    SAL is the three-letter National Rail station code assigned to Salisbury railway station in Wiltshire, England.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9155465388190bbe52453c9b11912 completed April 10, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6724de481909fe29e3278136ea2 completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.