Triple

T2840847
Position Surface form Disambiguated ID Type / Status
Subject Khyber District E62462 entity
Predicate partOf P40 FINISHED
Object Peshawar Division E56153 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: Peshawar Division | Statement: [Khyber District, partOf, Peshawar Division]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peshawar Division
Context triple: [Khyber District, partOf, Peshawar Division]
  • A. Peshawar Division chosen
    Peshawar Division is an administrative division in northwestern Pakistan centered around the city of Peshawar and comprising several districts within the province of Khyber Pakhtunkhwa.
  • B. Bannu Division
    Bannu Division is an administrative division in southern Khyber Pakhtunkhwa, Pakistan, centered around the city of Bannu and comprising several districts.
  • C. Dera Ismail Khan Division
    Dera Ismail Khan Division is an administrative division in the Khyber Pakhtunkhwa province of Pakistan, centered around the city of Dera Ismail Khan.
  • D. Karachi Division
    Karachi Division is an administrative division in the Sindh province of Pakistan that encompasses several districts within the metropolitan area of Karachi.
  • E. Mardan Division
    Mardan Division is an administrative division in Pakistan known for encompassing the city of Mardan and surrounding districts within the Khyber Pakhtunkhwa province.
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf15b7288190a03d1193cc0544a6 completed March 7, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69b108c7cfd48190b959e60b9e7fc0fa completed March 11, 2026, 6:16 a.m.
Created at: March 6, 2026, 10:01 p.m.