Triple

T21342509
Position Surface form Disambiguated ID Type / Status
Subject Runway 18C/36C E526232 entity
Predicate associatedAirportIATA P45234 FINISHED
Object AYT NE NERFINISHED

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: AYT | Statement: [Runway 18C/36C, associatedAirportIATA, AYT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AYT
Context triple: [Runway 18C/36C, associatedAirportIATA, AYT]
  • A. AYT chosen
    AYT is the IATA airport code for Antalya Airport, a major international gateway serving the resort city of Antalya on Turkey’s Mediterranean coast.
  • B. AYTO
    AYTO is a reality dating competition series where singles try to identify their predetermined perfect matches to win a shared cash prize.
  • C. AYG
    AYG is the abbreviation for the Asian Youth Games, a multi-sport event for young athletes from across Asia organized under the Olympic movement.
  • D. AAY
    AAY is the ICAO airline designator used to identify Allegiant Air in aviation operations and communications.
  • E. YAT
    YAT is the three-letter National Rail station code for Yatton railway station in North Somerset, England.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51c33048190ab27cede74ef798c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8a850617081909bf5c1ecc84d55b1 completed April 22, 2026, 10:52 a.m.
Created at: April 16, 2026, 4:44 p.m.