Triple

T9861465
Position Surface form Disambiguated ID Type / Status
Subject Jazan Regional Airport E239722 entity
Predicate alsoKnownAs P39 FINISHED
Object Gizan Regional Airport E826828 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: Gizan Regional Airport | Statement: [Jazan Regional Airport, alsoKnownAs, Gizan Regional Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gizan Regional Airport
Context triple: [Jazan Regional Airport, alsoKnownAs, Gizan Regional Airport]
  • A. Gizan Airport chosen
    Gizan Airport is a regional airport serving the city of Jazan in southwestern Saudi Arabia, providing domestic flights and acting as a key air gateway for the surrounding region.
  • B. Gando Airport
    Gando Airport is the main international airport serving Gran Canaria in Spain’s Canary Islands.
  • C. Ulei Airport
    Ulei Airport is a small regional airfield serving the island of Ambrym in Vanuatu, providing local and inter-island air connections.
  • D. 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.
  • E. Beni Airport
    Beni Airport is a small public airport serving the city of Beni in the North Kivu province of the Democratic Republic of the Congo.
  • 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_69ca84e6493081909cf58c8d42ea856b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3b6aa108190978f1c0cdc0f45a0 completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1ead91ee88190bd4cb28ab16bf703 completed April 5, 2026, 4:53 a.m.
Created at: March 30, 2026, 8:35 p.m.