Triple

T7205331
Position Surface form Disambiguated ID Type / Status
Subject Nosy Be E148650 entity
Predicate airportServes P4363 FINISHED
Object Fascene Airport E652615 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: Fascene Airport | Statement: [Nosy Be, airportServes, Fascene Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fascene Airport
Context triple: [Nosy Be, airportServes, Fascene Airport]
  • A. Fascene Airport chosen
    Fascene Airport is the main international airport serving the island of Nosy Be in northwestern Madagascar, handling both domestic and tourist flights.
  • B. Muanda Airport
    Muanda Airport is a public airport serving the coastal town of Muanda in the western Democratic Republic of the Congo, providing regional air connectivity for passengers and cargo.
  • C. Trang Airport
    Trang Airport is a domestic airport in Trang Province, southern Thailand, serving as the main air gateway to the city of Trang and nearby coastal and island destinations.
  • D. Ulei Airport
    Ulei Airport is a small regional airfield serving the island of Ambrym in Vanuatu, providing local and inter-island air connections.
  • E. Amausi Airport
    Amausi Airport is the former name of Chaudhary Charan Singh International Airport, the main airport serving Lucknow in the Indian state of Uttar Pradesh.
  • 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_69c687e8cf188190b5f3ecffd681f04e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e94d68ec8190ae3e1280bad12665 completed March 27, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db066aec8190a1193cbb3b6a8349 completed March 28, 2026, 1:43 p.m.
Created at: March 27, 2026, 2:52 p.m.