Triple

T19006305
Position Surface form Disambiguated ID Type / Status
Subject Garowe E465093 entity
Predicate hasAirport P105 FINISHED
Object Garowe International Airport 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: Garowe International Airport | Statement: [Garowe, hasAirport, Garowe International Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garowe International Airport
Context triple: [Garowe, hasAirport, Garowe International Airport]
  • A. Garowe Airport chosen
    Garowe Airport is the main civil aviation facility serving the city of Garowe, the capital of the Puntland region in northeastern Somalia.
  • B. Gardabya Airport
    Gardabya Airport is a Libyan airport serving the coastal city of Sirte and its surrounding region.
  • C. Almaza Airport
    Almaza Airport is a historic airfield in Cairo that served as the city's main airport before the opening of Cairo International Airport.
  • D. Baidoa Airport
    Baidoa Airport is a public airport serving the city of Baidoa in south-central Somalia, handling both civilian and military flights.
  • E. Zaqatala International Airport
    Zaqatala International Airport is a regional civil airport in northwestern Azerbaijan that serves the town of Zaqatala and the surrounding area.
  • 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6a561848190bd957f248471c191 completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:01 p.m.