Triple

T11188657
Position Surface form Disambiguated ID Type / Status
Subject Palas E264740 entity
Predicate locatedIn P40 FINISHED
Object Kohistan District 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 District | Statement: [Palas, locatedIn, Kohistan District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kohistan District
Context triple: [Palas, locatedIn, Kohistan District]
  • 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. Khogyani District
    Khogyani District is an administrative district in eastern Afghanistan known for its largely rural Pashtun population and its location within Nangarhar Province near the Pakistan border.
  • C. Kakar District
    Kakar District is an administrative district located within Zabul Province in southern Afghanistan.
  • 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. Ghorak District
    Ghorak District is a rural administrative district in southern Afghanistan, located within Kandahar Province and known for its mountainous terrain and security challenges.
  • 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_69e684ba7e0481908235e3e45f8902e6 completed April 20, 2026, 7:55 p.m.
Created at: April 8, 2026, 9:29 p.m.