Triple

T12371335
Position Surface form Disambiguated ID Type / Status
Subject Senai International Airport E295007 entity
Predicate connectsTo P845 FINISHED
Object Labuan Airport E241951 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: Labuan Airport | Statement: [Senai International Airport, connectsTo, Labuan Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Labuan Airport
Context triple: [Senai International Airport, connectsTo, Labuan Airport]
  • A. Labuan Airport chosen
    Labuan Airport is a public airport serving the island and federal territory of Labuan in Malaysia, handling domestic flights and some regional connections.
  • B. Keningau Airport
    Keningau Airport is a small regional airfield serving the town of Keningau in the interior of Sabah, Malaysia.
  • C. Kualanamu International Airport
    Kualanamu International Airport is a major international airport in North Sumatra, Indonesia, serving the city of Medan as one of the country’s primary air transport hubs.
  • D. Sultan Babullah Airport
    Sultan Babullah Airport is the main public airport serving the city of Ternate and the surrounding North Maluku region in Indonesia.
  • E. Kuching International Airport
    Kuching International Airport is a major airport in Sarawak, Malaysia, serving as a key gateway to Borneo and an important regional hub for domestic and international flights.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa7c9ec81908c685612994543e3 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ea0a4c4819091a7a66c3b73d776 completed May 2, 2026, 8:29 p.m.
Created at: April 8, 2026, 9:54 p.m.