Triple

T3018772
Position Surface form Disambiguated ID Type / Status
Subject NISA E82402 entity
Predicate abbreviation P43 FINISHED
Object NISA E82402 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: NISA | Statement: [NISA, abbreviation, NISA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NISA
Context triple: [NISA, abbreviation, NISA]
  • A. NISA chosen
    NISA is a professional third-division soccer league in the United States that operates independently of Major League Soccer and the USL system.
  • B. HSA
    HSA is a common abbreviation for the Homeland Security Act of 2002, the U.S. law that created the Department of Homeland Security and reorganized federal efforts related to national security and terrorism.
  • C. NSE
    NSE is the Nairobi-based stock exchange that serves as Kenya’s primary securities market for trading shares, bonds, and other financial instruments.
  • D. NSE
    NSE is the IATA airport code for Naval Air Station Whiting Field, a U.S. Navy air training facility in Florida.
  • E. NSE
    NSE is India’s leading electronic stock exchange, known for its advanced trading infrastructure and benchmark indices like the Nifty 50.
  • 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_69ad8b1fb34081908c1b873e2b7273e1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a927b608190ba1392498507b237 completed March 8, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e71a9c08190848ecb3bcab18bb5 completed March 11, 2026, 8:57 a.m.
Created at: March 8, 2026, 3 p.m.