Triple

T172479
Position Surface form Disambiguated ID Type / Status
Subject AA E3505 entity
Predicate identifies P310 FINISHED
Object American Airlines E526 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: American Airlines | Statement: [AA, identifies, American Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: American Airlines
Context triple: [AA, identifies, American Airlines]
  • A. American Airlines chosen
    American Airlines is a major U.S.-based airline and one of the world's largest carriers, operating extensive domestic and international routes.
  • B. United Airlines
    United Airlines is a major American airline and Star Alliance member known for its extensive domestic and international route network operated from multiple hubs across the United States.
  • C. Delta Air Lines
    Delta Air Lines is a major U.S.-based global airline headquartered in Atlanta, known for its extensive domestic and international route network and membership in the SkyTeam alliance.
  • D. US Airways
    US Airways was a major American airline that operated domestic and international flights before ultimately combining with American Airlines to form one of the world’s largest carriers.
  • E. Southwest Airlines
    Southwest Airlines is a major U.S. low-cost carrier known for its extensive domestic route network, no-frills service model, and distinctive open-seating boarding process.
  • 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_69a25374990081909766d30c79a18e0e completed Feb. 28, 2026, 2:31 a.m.
NER Named-entity recognition batch_69a258e0b11c8190b7b5cf3c354c47ce completed Feb. 28, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a39d0168508190b6f6766a75dd0e34 completed March 1, 2026, 1:57 a.m.
Created at: Feb. 28, 2026, 2:39 a.m.