Triple

T18963980
Position Surface form Disambiguated ID Type / Status
Subject Makran Range E463982 entity
Predicate near P350 FINISHED
Object Gwadar NE NERFINISHED

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 | Statement: [Makran Range, near, Gwadar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gwadar
Context triple: [Makran Range, near, Gwadar]
  • A. 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.
  • B. Gwadar Bay
    Gwadar Bay is a shallow, strategically located bay on the Arabian Sea along the coasts of southwestern Pakistan and southeastern Iran.
  • C. Gwadar Free Zone
    Gwadar Free Zone is a special economic and industrial zone in Pakistan’s port city of Gwadar, developed under the China–Pakistan Economic Corridor to promote trade, manufacturing, and investment.
  • D. Gwadar International Airport
    Gwadar International Airport is a major new airport development in Pakistan’s coastal city of Gwadar, intended to serve as a key regional hub supporting trade, tourism, and the China–Pakistan Economic Corridor.
  • E. Bannu
    Bannu is a historic city in northwestern Pakistan known as a regional commercial and cultural center in the Khyber Pakhtunkhwa province.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d5d5365881909dcbb4988d273b24 completed April 20, 2026, 7:29 a.m.
Created at: April 10, 2026, noon