Triple

T427462
Position Surface form Disambiguated ID Type / Status
Subject K2 E9638 entity
Predicate locatedInRegion P40 FINISHED
Object Gilgit-Baltistan E13296 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: Gilgit-Baltistan | Statement: [K2, locatedInRegion, Gilgit-Baltistan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gilgit-Baltistan
Context triple: [K2, locatedInRegion, Gilgit-Baltistan]
  • A. Gilgit-Baltistan chosen
    Gilgit-Baltistan is a mountainous, strategically important region in northern Pakistan, known for its high peaks, including K2, and its location at the crossroads of South and Central Asia.
  • B. Azad Jammu and Kashmir
    Azad Jammu and Kashmir is a self-governing administrative territory under Pakistani control in the disputed Kashmir region.
  • C. Jammu and Kashmir
    Jammu and Kashmir is a northern region of the Indian subcontinent known for its mountainous terrain, strategic location, and long-standing political and territorial disputes.
  • D. Swabi
    Swabi is a city in northern Pakistan known as an agricultural and commercial center in the Khyber Pakhtunkhwa province.
  • E. Swat Valley
    Swat Valley is a picturesque mountainous region in northern Pakistan renowned for its lush green landscapes, rivers, and historical Buddhist heritage.
  • 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_69a2e801e1d48190b505d1dd336b52ac completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2eed7f3508190995dcd39586ed614 completed Feb. 28, 2026, 1:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4b23a3ddc8190a685a63923d1d175 completed March 1, 2026, 9:40 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.