Triple

T2675604
Position Surface form Disambiguated ID Type / Status
Subject Kohat Division E56451 entity
Predicate containsDistrict P22582 FINISHED
Object Kohat District E271504 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: Kohat District | Statement: [Kohat Division, containsDistrict, Kohat District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kohat District
Context triple: [Kohat Division, containsDistrict, Kohat District]
  • A. Kohat District chosen
    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.
  • B. Kohistan District
    Kohistan District is a mountainous administrative region in northern Pakistan known for its rugged terrain, remote valleys, and ethnically diverse communities.
  • C. Pishin District
    Pishin District is an administrative district in the Balochistan province of Pakistan, known for its agricultural economy and predominantly Pashtun population.
  • D. Shabran District
    Shabran District is an administrative region in northeastern Azerbaijan known for its historical sites and location near the Caspian Sea.
  • E. Lasbela District
    Lasbela District is a coastal administrative district in Balochistan, Pakistan, known for its Arabian Sea shoreline, industrial zones, and proximity to Karachi.
  • 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_69ab4a4b13fc81909dfdb3f23da46832 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9b3530c819093942cc985f814ef completed March 7, 2026, 7:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbb50cec8190aea067e486a5b092 completed March 10, 2026, 6:35 a.m.
Created at: March 6, 2026, 9:54 p.m.