Triple

T13836113
Position Surface form Disambiguated ID Type / Status
Subject SATA Air Açores E332530 entity
Predicate focusCity P164 FINISHED
Object Flores Airport E321519 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: Flores Airport | Statement: [SATA Air Açores, focusCity, Flores Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flores Airport
Context triple: [SATA Air Açores, focusCity, Flores Airport]
  • A. Flores Airport chosen
    Flores Airport is a regional public airport serving Flores Island in Portugal’s Azores archipelago, providing domestic connections to other islands and the mainland.
  • B. Komodo Airport
    Komodo Airport is a regional airport serving the town of Labuan Bajo in Flores, Indonesia, and acting as a primary gateway for tourists visiting Komodo National Park.
  • C. Bawean Airport
    Bawean Airport is a regional airport serving the island of Bawean in Indonesia, providing air connectivity for passengers and goods to and from the island.
  • D. Butaritari Airport
    Butaritari Airport is a small public airfield serving the island of Butaritari in Kiribati, providing vital domestic air connections for the local population.
  • E. Mutiara Airport
    Mutiara Airport is a public airport in Palu, Central Sulawesi, Indonesia, serving as the main air gateway to the region.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de029b352081909605baaedc336213 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8f234888190bd9d5d403b236105 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:13 p.m.