Triple

T17624425
Position Surface form Disambiguated ID Type / Status
Subject LTAJ E429798 entity
Predicate icaoCode P419 FINISHED
Object LTAJ 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: LTAJ | Statement: [LTAJ, icaoCode, LTAJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LTAJ
Context triple: [LTAJ, icaoCode, LTAJ]
  • A. LTAJ chosen
    LTAJ is the ICAO airport code for Oğuzeli Airport, an airfield serving the Gaziantep region in southeastern Turkey.
  • B. LTAZ
    LTAZ is the ICAO airport code for Nevşehir Kapadokya Airport, which serves the Cappadocia region of central Turkey.
  • C. LTAU
    LTAU is the ICAO airport code for Kayseri Erkilet Airport, a civil-military airport serving the city of Kayseri in central Turkey.
  • D. LAJ
    LAJ is the station code for La Junta station, an Amtrak railroad stop in La Junta, Colorado, serving long-distance passenger trains.
  • E. MLTA
    MLTA is the abbreviation for Mountain Line Transit Authority, a public transportation agency that operates bus services.
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46dbb2a348190982658d495c81da0 completed April 19, 2026, 5:52 a.m.
Created at: April 10, 2026, 5:52 a.m.