Triple

T14918694
Position Surface form Disambiguated ID Type / Status
Subject EHTE E371450 entity
Predicate ICAOCodeFor P419 FINISHED
Object Teuge Airport E1137207 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: Teuge Airport | Statement: [EHTE, ICAOCodeFor, Teuge Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teuge Airport
Context triple: [EHTE, ICAOCodeFor, Teuge Airport]
  • A. Teuge International Airport chosen
    Teuge International Airport is a small regional airport in the Netherlands known primarily for general aviation, flight training, and skydiving activities.
  • B. Baljek Airport
    Baljek Airport is a small regional airport serving the town of Tura and the surrounding Garo Hills region in the Indian state of Meghalaya.
  • C. Dumatubin Airport
    Dumatubin Airport is a small regional airport serving the Kai Islands in Indonesia, providing domestic air connections to this remote archipelago.
  • D. Ulei Airport
    Ulei Airport is a small regional airfield serving the island of Ambrym in Vanuatu, providing local and inter-island air connections.
  • E. Kadala Airport
    Kadala Airport is the main commercial airport serving the city of Chita in eastern Siberia, Russia.
  • 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_69d85cc7ea3481908228b5acb7d06f12 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded62f76bc81909ebc8899096cd1a0 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fed31a49d88190a200c427fe02616f completed May 9, 2026, 6:24 a.m.
Created at: April 10, 2026, 2:33 a.m.