Triple

T2684656
Position Surface form Disambiguated ID Type / Status
Subject Bannu Division E57454 entity
Predicate borderingRegion P17964 FINISHED
Object Kohat Division E56451 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 Division | Statement: [Bannu Division, borderingRegion, Kohat Division]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kohat Division
Context triple: [Bannu Division, borderingRegion, Kohat Division]
  • A. Kohat Division chosen
    Kohat Division is an administrative division in Pakistan’s Khyber Pakhtunkhwa province, comprising several districts in the country’s northwest.
  • B. Sabha District
    Sabha District is an administrative region in southwestern Libya centered around the city of Sabha, a key hub in the Fezzan desert area.
  • C. Hazara Division
    Hazara Division is an administrative division in northeastern Khyber Pakhtunkhwa, Pakistan, known for its mountainous terrain, diverse ethnic communities, and key cities such as Abbottabad and Mansehra.
  • D. Tirhut division
    Tirhut division is an administrative division in the Indian state of Bihar, encompassing several northern districts including Sitamarhi and centered around the city of Muzaffarpur.
  • E. Saha District
    Saha District is an administrative district (gu) in the southwestern part of Busan, South Korea, known for its coastal areas and residential neighborhoods.
  • 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_69ab4a5028388190a36f3baf1588309e completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9edba5c8190b86d6cba0f1964e2 completed March 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa0700d548190944544495a2d42f6 completed March 10, 2026, 4:39 a.m.
Created at: March 6, 2026, 9:54 p.m.