Triple

T18095680
Position Surface form Disambiguated ID Type / Status
Subject Katunayake Airport E433078 entity
Predicate formerName P65 FINISHED
Object Katunayake 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: Katunayake Airport | Statement: [Katunayake Airport, formerName, Katunayake Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katunayake Airport
Context triple: [Katunayake Airport, formerName, Katunayake Airport]
  • A. Katunayake Airport chosen
    Katunayake Airport, now known as Bandaranaike International Airport, is the main international gateway to Sri Lanka located near Colombo.
  • 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. Kirakira Airport
    Kirakira Airport is a small regional airfield serving the town of Kirakira and surrounding communities in Makira-Ulawa Province of the Solomon Islands.
  • D. Osubi Airport
    Osubi Airport is a domestic airport serving the city of Warri and its surrounding region in Delta State, Nigeria.
  • 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 (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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dd1c56848190be0b8c80b30dba6c completed April 19, 2026, 1:48 p.m.
Created at: April 10, 2026, 10:27 a.m.