Triple

T8670942
Position Surface form Disambiguated ID Type / Status
Subject Sultan Abdul Halim Airport E205793 entity
Predicate cityServed P82 FINISHED
Object Jitra E539640 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: Jitra | Statement: [Sultan Abdul Halim Airport, cityServed, Jitra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jitra
Context triple: [Sultan Abdul Halim Airport, cityServed, Jitra]
  • A. Jitra chosen
    Jitra is a town in the state of Kedah in northern Peninsular Malaysia, historically noted as the site of a major World War II battle between British Commonwealth and Japanese forces.
  • B. Mirafra
    Mirafra is a genus of small, ground-dwelling larks known for their cryptic plumage and elaborate song displays, found mainly in Africa and parts of Asia.
  • C. Isara
    Isara is the Latin name for the Isar River, a major waterway flowing through the Alps and the city of Munich in Germany.
  • D. Jita
    The Jita are a Bantu-speaking ethnic group primarily inhabiting areas around Lake Victoria in northwestern Tanzania.
  • E. Umrangso
    Umrangso is an industrial and commercial town in Assam, India, known for its cement factories and hydroelectric power projects.
  • 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_69ca83529a9c8190b5c075b4f14636ed completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4918e3a88190b3c49043211840fd completed March 31, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecd2b996481908da33fbd95494376 completed April 2, 2026, 8:10 p.m.
Created at: March 30, 2026, 6:31 p.m.