Triple

T21342510
Position Surface form Disambiguated ID Type / Status
Subject Runway 18C/36C E526232 entity
Predicate associatedAirportICAO P419 FINISHED
Object LTAI 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: LTAI | Statement: [Runway 18C/36C, associatedAirportICAO, LTAI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LTAI
Context triple: [Runway 18C/36C, associatedAirportICAO, LTAI]
  • A. LTAI chosen
    LTAI is the ICAO airport code for Antalya Airport, a major international gateway serving the city of Antalya and Turkey’s Mediterranean tourism region.
  • B. LTA
    LTA is the IATA airport code for Lata Airport, a small regional airport serving the Santa Cruz Islands in the Solomon Islands.
  • C. LAI
    LAI is the vehicle registration code assigned to the Finnish town of Laitila.
  • D. LTAU
    LTAU is the ICAO airport code for Kayseri Erkilet Airport, a civil-military airport serving the city of Kayseri in central Turkey.
  • E. LTAZ
    LTAZ is the ICAO airport code for Nevşehir Kapadokya Airport, which serves the Cappadocia region of central Turkey.
  • 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.