Triple

T1149803
Position Surface form Disambiguated ID Type / Status
Subject Under Armour E23649 entity
Predicate tickerSymbol P1447 FINISHED
Object UA E47401 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: UA | Statement: [Under Armour, tickerSymbol, UA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UA
Context triple: [Under Armour, tickerSymbol, UA]
  • A. UA
    UA is the two-letter ISO 3166-1 alpha-2 country code assigned to Ukraine for international standardization and identification purposes.
  • B. UA chosen
    UA is the two-letter IATA airline designator used worldwide to identify United Airlines on tickets, schedules, and flight information.
  • C. UA
    UA is a major public research university located in Tuscaloosa, Alabama, known for its strong academic programs and prominent Crimson Tide athletics.
  • D. UAL
    UAL is the ICAO airline designator used to identify United Airlines in aviation operations and air traffic control.
  • E. CU
    CU is the two-letter ISO 3166-1 alpha-2 country code assigned to Cuba.
  • 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_69a493f0d32c8190ac74bad3c87f2641 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc730b008190bd0901e0a47a4b7a completed March 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5eb5d36c8190916a43a5f41df144 completed March 7, 2026, 5:21 p.m.
Created at: March 1, 2026, 7:44 p.m.