Triple

T22245089
Position Surface form Disambiguated ID Type / Status
Subject NASAA E549820 entity
Predicate hasAbbreviation P43 FINISHED
Object NASAA E549820 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: NASAA | Statement: [NASAA, hasAbbreviation, NASAA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NASAA
Context triple: [NASAA, hasAbbreviation, NASAA]
  • A. NASAA chosen
    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.
  • B. NSAA
    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.
  • C. NSAA
    NSAA is the governing body that oversees and regulates high school extracurricular activities and athletics in the state of Nebraska.
  • D. NASAD
    NASAD is a U.S.-based accrediting organization that sets national standards for undergraduate and graduate programs in art and design.
  • E. NAAC
    NAAC (National Assessment and Accreditation Council) is an autonomous body in India responsible for assessing and accrediting higher education institutions to ensure quality standards in teaching, research, and infrastructure.
  • 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_69e11e41d9408190bd770cf282e22753 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f132170e5081909b9dbb204abf2a45 completed April 28, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0ab65c85548190a2650674379d8358 completed May 18, 2026, 6:49 a.m.
Created at: April 16, 2026, 8:38 p.m.