Triple

T3939671
Position Surface form Disambiguated ID Type / Status
Subject Charlotte Hornets E92003 entity
Predicate abbreviation P43 FINISHED
Object CHA E92003 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: CHA | Statement: [Charlotte Hornets, abbreviation, CHA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CHA
Context triple: [Charlotte Hornets, abbreviation, CHA]
  • A. CHA chosen
    The Charlotte Hornets are a professional basketball team based in Charlotte, North Carolina, competing in the NBA's Eastern Conference.
  • B. CHA
    CHA is the standard abbreviation used for the Chattanooga Lookouts, a Minor League Baseball team based in Chattanooga, Tennessee.
  • C. CHS
    CHS is the abbreviation for the Committee on Hemispheric Security, a body within the Organization of American States focused on security issues in the Western Hemisphere.
  • D. CHQ
    CHQ is the ICAO airline designator assigned to Chautauqua Airlines, a former U.S. regional carrier that operated feeder services for major airlines.
  • E. DCHA
    DCHA is the public housing agency responsible for providing and managing affordable housing and related services for low- and moderate-income residents in Washington, D.C.
  • 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_69aed965502c8190904ebad1203a4ae8 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeedfb12b88190a6ca6574b1aadb6e completed March 9, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b52894cb94819099d023745fcaebbc completed March 14, 2026, 9:21 a.m.
Created at: March 9, 2026, 3:24 p.m.