Triple

T10880424
Position Surface form Disambiguated ID Type / Status
Subject N591UA E256904 entity
Predicate operatorICAO P32729 FINISHED
Object UAL E47888 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: UAL | Statement: [N591UA, operatorICAO, UAL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UAL
Context triple: [N591UA, operatorICAO, UAL]
  • A. UAL chosen
    UAL is the ICAO airline designator used to identify United Airlines in aviation operations and air traffic control.
  • B. UL
    UL is the New York Stock Exchange ticker symbol for Unilever, a major multinational consumer goods company known for its food, personal care, and household products.
  • C. UL
    UL is the vehicle registration code for the district that includes the municipality of Lauterach in Austria.
  • D. UL
    UL is the vehicle registration code used on license plates for the city of Ulm in Germany.
  • E. UL
    UL is the two-letter IATA airline designator assigned to SriLankan Airlines, the flag carrier of Sri Lanka.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751b031a88190b1182dfc1f520264 completed April 9, 2026, 7:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7e2322c8190a55605237ae6ce95 completed April 15, 2026, 8:41 p.m.
Created at: April 8, 2026, 9:21 p.m.