Triple

T19164964
Position Surface form Disambiguated ID Type / Status
Subject Ilha do Maio E469154 entity
Predicate hasAirport P105 FINISHED
Object Maio 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: Maio Airport | Statement: [Ilha do Maio, hasAirport, Maio Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maio Airport
Context triple: [Ilha do Maio, hasAirport, Maio Airport]
  • A. Maio Airport chosen
    Maio Airport is a small public airport serving the island of Maio in Cape Verde, providing domestic air connections to the rest of the archipelago.
  • B. Miyazaki Bougainvillea Airport
    Miyazaki Bougainvillea Airport is a regional airport in Miyazaki Prefecture, Japan, serving domestic flights and limited international routes for the city of Miyazaki on Kyushu Island.
  • C. 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.
  • D. 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.
  • E. Momote Airport
    Momote Airport is a regional airport serving Manus Province in Papua New Guinea, providing vital air connectivity for passengers and cargo to this remote island 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f15e2720819084b1707497db26a2 completed April 20, 2026, 9:26 a.m.
Created at: April 10, 2026, 12:06 p.m.