Triple

T5909326
Position Surface form Disambiguated ID Type / Status
Subject Akure E131420 entity
Predicate airportServes P4363 FINISHED
Object Akure Airport E553010 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: Akure Airport | Statement: [Akure, airportServes, Akure Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akure Airport
Context triple: [Akure, airportServes, Akure Airport]
  • A. Akure Airport chosen
    Akure Airport is a domestic airport serving the city of Akure and the surrounding Ondo State region in southwestern Nigeria.
  • B. Torslanda Airport
    Torslanda Airport was the former main airport serving Gothenburg, Sweden, before being superseded by Gothenburg Landvetter Airport.
  • C. Ørland Airport
    Ørland Airport is a joint civilian and military airport in Trøndelag county, Norway, serving the Ørland peninsula and surrounding Fosen region.
  • D. Kiruna Airport
    Kiruna Airport is a regional airport in northern Sweden serving the town of Kiruna and the surrounding Arctic region, including access to the nearby space research and tourism activities.
  • E. Spilve Airport
    Spilve Airport is a historic former main airport of Riga, Latvia, which served as the city’s primary airfield before operations moved to Riga International Airport.
  • 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_69c008593a44819081a07ae0efe6c574 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03775590481909a797b166fbe108c completed March 22, 2026, 6:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3912f94819086d88cf34a278d3c completed March 23, 2026, 6:54 a.m.
Created at: March 22, 2026, 3:59 p.m.