Triple

T11863138
Position Surface form Disambiguated ID Type / Status
Subject North Star Athletic Association E282207 entity
Predicate abbreviation P43 FINISHED
Object NSAA E950882 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: NSAA | Statement: [North Star Athletic Association, abbreviation, NSAA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NSAA
Context triple: [North Star Athletic Association, abbreviation, NSAA]
  • A. NSAA chosen
    NSAA is an athletic conference known as the North Star Athletic Association, primarily organizing intercollegiate sports competition among smaller colleges and universities in the United States.
  • B. NASAA
    NASAA is a U.S.-based association of state, provincial, and territorial securities regulators in North America that works to protect investors and promote fair securities markets.
  • C. NASAD
    NASAD is a U.S.-based accrediting organization that sets national standards for undergraduate and graduate programs in art and design.
  • D. SAA
    SAA is the ICAO airline designator for South African Airways, the flag carrier airline of South Africa.
  • E. SAA
    The SAA is the main military force of the Syrian Arab Republic, responsible for land-based defense and combat operations.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a69b16bc8190999a0c1240f9ce6a completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f417a954e881909fdd9626d41229e2 completed May 1, 2026, 3:02 a.m.
Created at: April 8, 2026, 9:43 p.m.