Triple

T15292217
Position Surface form Disambiguated ID Type / Status
Subject Gwadar International Airport E365554 entity
Predicate serves P98 FINISHED
Object Gwadar District E74299 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: Gwadar District | Statement: [Gwadar International Airport, serves, Gwadar District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gwadar District
Context triple: [Gwadar International Airport, serves, Gwadar District]
  • A. Khuzdar District
    Khuzdar District is an administrative district in central Balochistan, Pakistan, known for its rugged terrain and strategic location along key regional routes.
  • B. Tando Allahyar District
    Tando Allahyar District is an administrative district in the Sindh province of Pakistan, known for its agricultural economy and historical Sufi shrines.
  • C. Umerkot District
    Umerkot District is an administrative district in the Sindh province of Pakistan, known for its historical significance and cultural heritage.
  • D. Gwadar chosen
    Gwadar is a strategic deep-sea port city in southwestern Pakistan that serves as a key maritime hub on the Arabian Sea and a central component of the China–Pakistan Economic Corridor.
  • E. Atghar District
    Atghar District is an administrative district located within Zabul Province in southern Afghanistan.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03680b60c8190a3ea54a9d34c8105 completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b3b8a8c81908aa936613565b87a completed May 9, 2026, 10:23 a.m.
Created at: April 10, 2026, 3:15 a.m.