Triple

T11188579
Position Surface form Disambiguated ID Type / Status
Subject Dassu E264737 entity
Predicate locatedInRegion P40 FINISHED
Object Kohistan E264735 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: Kohistan | Statement: [Dassu, locatedInRegion, Kohistan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kohistan
Context triple: [Dassu, locatedInRegion, Kohistan]
  • 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. Daikundi Province
    Daikundi Province is a central Afghan province known for its predominantly Hazara population, mountainous terrain, and relative isolation from major urban centers.
  • C. Gilgiti Shina
    Gilgiti Shina is a regional variety of the Shina language spoken primarily in and around Gilgit in northern Pakistan.
  • D. Khost
    Khost is a city in eastern Afghanistan known as a regional commercial and administrative center near the Pakistan border.
  • E. Kunar Valley
    Kunar Valley is a rugged, strategically significant valley in eastern Afghanistan known for its mountainous terrain, dense forests, and history of military conflict.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8ad143481908d5dacc95837ecfd completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d3049e788190a7caf324a4b793d2 completed April 20, 2026, 7:17 a.m.
Created at: April 8, 2026, 9:29 p.m.