Triple

T5694927
Position Surface form Disambiguated ID Type / Status
Subject Delta State E125513 entity
Predicate hasAirport P105 FINISHED
Object Osubi Airport E340188 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: Osubi Airport | Statement: [Delta State, hasAirport, Osubi Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Osubi Airport
Context triple: [Delta State, hasAirport, Osubi Airport]
  • A. Osubi Airport chosen
    Osubi Airport is a domestic airport serving the city of Warri and its surrounding region in Delta State, Nigeria.
  • B. Moruya Airport
    Moruya Airport is a regional airport in New South Wales, Australia, providing air transport services for the town of Moruya and the surrounding Eurobodalla region.
  • C. Tajima Airport
    Tajima Airport is a regional airport in northern Hyogo Prefecture, Japan, primarily serving domestic flights and connecting the Tajima area with major Japanese cities.
  • D. Katunayake Airport
    Katunayake Airport, now known as Bandaranaike International Airport, is the main international gateway to Sri Lanka located near Colombo.
  • E. Komatsu Airport
    Komatsu Airport is a regional and international airport in Ishikawa Prefecture, Japan, serving the Kanazawa area with both domestic and limited 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02409e70081909e47f2bd4a50fa12 completed March 22, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a155d9b48190aaf63e0bc4dcb072 completed March 23, 2026, 2:11 a.m.
Created at: March 22, 2026, 3:45 p.m.