Triple

T14589941
Position Surface form Disambiguated ID Type / Status
Subject Andijan Airport E342416 entity
Predicate icaoCode P419 FINISHED
Object UTFA E1109232 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: UTFA | Statement: [Andijan Airport, icaoCode, UTFA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UTFA
Context triple: [Andijan Airport, icaoCode, UTFA]
  • A. UTFA chosen
    UTFA is the ICAO airport code assigned to Andijan Airport in Uzbekistan.
  • B. UFAC
    UFAC is the French abbreviation for Switzerland’s Federal Office of Civil Aviation, the national authority responsible for regulating and overseeing civil aviation in the country.
  • C. TuAF
    TuAF is the commonly used abbreviation for the Turkish Air Force, the aerial warfare branch of Turkey’s armed forces.
  • D. TUAC
    TUAC is an international trade union body that represents organized labor’s interests in policy discussions and consultations with the Organisation for Economic Co-operation and Development (OECD).
  • E. UNDAF
    UNDAF is the strategic planning framework that guides how United Nations agencies coordinate their development assistance in a given country.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4237d88819097f3f9a40f5be152 completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda918542c819099646943be59dd04 completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:24 a.m.