Triple

T17860420
Position Surface form Disambiguated ID Type / Status
Subject Kandia River E446054 entity
Predicate region P40 FINISHED
Object Kohistan region 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: Kohistan region | Statement: [Kandia River, region, Kohistan region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kohistan region
Context triple: [Kandia River, region, Kohistan region]
  • A. Kohistan District chosen
    Kohistan District is a mountainous administrative region in northern Pakistan known for its rugged terrain, remote valleys, and ethnically diverse communities.
  • B. Kuh-e Quchan region
    The Kuh-e Quchan region is a mountainous area in northeastern Iran that forms part of the Kopet Dag range and contains its loftiest peaks.
  • C. Uruzgan Province
    Uruzgan Province is a central Afghan province known for its rugged terrain, strategic location, and ethnically mixed population including Pashtuns and Hazaras.
  • D. Kohat District
    Kohat District is an administrative district in Pakistan’s Khyber Pakhtunkhwa province, known for its strategic location, military cantonment, and the city of Kohat as its headquarters.
  • E. Ghor Province
    Ghor Province is a mountainous, centrally located region of Afghanistan known for its remote terrain, historical significance, and ethnically diverse population.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4978f34948190a25deb4fd617ad72 completed April 19, 2026, 8:51 a.m.
Created at: April 10, 2026, 10:17 a.m.