Triple

T6984280
Position Surface form Disambiguated ID Type / Status
Subject Zhob Airport E161922 entity
Predicate hasAlternativeName P39 FINISHED
Object Zhob Domestic Airport E161922 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: Zhob Domestic Airport | Statement: [Zhob Airport, hasAlternativeName, Zhob Domestic Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhob Domestic Airport
Context triple: [Zhob Airport, hasAlternativeName, Zhob Domestic Airport]
  • A. Zhob Airport chosen
    Zhob Airport is a domestic airport serving the city of Zhob in Balochistan, Pakistan, providing regional air connectivity.
  • B. Khasab Airport
    Khasab Airport is a regional airport in the Musandam Governorate of Oman that serves the coastal city of Khasab and its surrounding area.
  • C. Garowe Airport
    Garowe Airport is the main civil aviation facility serving the city of Garowe, the capital of the Puntland region in northeastern Somalia.
  • D. Shah Makhdum Airport
    Shah Makhdum Airport is a regional domestic airport serving the city of Rajshahi in western Bangladesh.
  • E. Gardabya Airport
    Gardabya Airport is a Libyan airport serving the coastal city of Sirte and its surrounding region.
  • 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db90e9108190a7aedeef1fb17eb4 completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761cb0f1c8190b22b1ad2cd1d7a57 completed March 28, 2026, 5:06 a.m.
Created at: March 27, 2026, 2:31 p.m.