Triple

T11787062
Position Surface form Disambiguated ID Type / Status
Subject Kuala Terengganu E280295 entity
Predicate hasAirport P105 FINISHED
Object Sultan Mahmud Airport E233889 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: Sultan Mahmud Airport | Statement: [Kuala Terengganu, hasAirport, Sultan Mahmud Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sultan Mahmud Airport
Context triple: [Kuala Terengganu, hasAirport, Sultan Mahmud Airport]
  • A. Sultan Mahmud Airport chosen
    Sultan Mahmud Airport is the main public airport serving the Malaysian state of Terengganu, handling domestic flights and limited international services.
  • B. Sultan Babullah Airport
    Sultan Babullah Airport is the main public airport serving the city of Ternate and the surrounding North Maluku region in Indonesia.
  • C. Sultan Mahmud Badaruddin II International Airport
    Sultan Mahmud Badaruddin II International Airport is the main international airport serving the city of Palembang in South Sumatra, Indonesia.
  • D. Shah Amanat International Airport
    Shah Amanat International Airport is the main international airport serving the port city of Chittagong in southeastern Bangladesh.
  • E. Shah Makhdum Airport
    Shah Makhdum Airport is a regional domestic airport serving the city of Rajshahi in western Bangladesh.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a586803481909af0032c35ca6e51 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f090e8828481908baa7f6067190db3 completed April 28, 2026, 10:50 a.m.
Created at: April 8, 2026, 9:42 p.m.