Triple

T10665866
Position Surface form Disambiguated ID Type / Status
Subject ALA E251355 entity
Predicate formerName P65 FINISHED
Object Alma-Ata Airport E251354 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: Alma-Ata Airport | Statement: [ALA, formerName, Alma-Ata Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alma-Ata Airport
Context triple: [ALA, formerName, Alma-Ata Airport]
  • A. Almaty International Airport chosen
    Almaty International Airport is the main international gateway and busiest airport in Kazakhstan, serving the city of Almaty and the surrounding region.
  • B. Andijan Airport
    Andijan Airport is a regional public airport serving the city of Andijan in eastern Uzbekistan, handling domestic flights and limited international services.
  • C. Tolmachevo Airport
    Tolmachevo Airport is a major international airport in Novosibirsk, Russia, serving as a key air transport hub for Siberia and a primary base for several Russian airlines.
  • D. Nukus Airport
    Nukus Airport is a regional airport serving the city of Nukus in western Uzbekistan, providing domestic and limited international air connections for the Karakalpakstan region.
  • E. Atyrau International Airport
    Atyrau International Airport is the main air gateway serving the city of Atyrau in western Kazakhstan, handling both domestic and international flights.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f31f87748190bb44db8afa901763 completed April 9, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbb6fa3f54819081910a2589ddbc99 completed April 12, 2026, 3:15 p.m.
Created at: April 8, 2026, 9:08 p.m.