Triple

T37420807
Position Surface form Disambiguated ID Type / Status
Subject Battagram Tehsil E929844 entity
Predicate locatedInProvincialConstituency P43118 FINISHED
Object PK-29 Battagram-II
PK-29 Battagram-II is a provincial electoral constituency in Pakistan’s Khyber Pakhtunkhwa Assembly that encompasses the Battagram Tehsil area.
 E2227366 NE FINISHED

How this triple was built (3 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: PK-29 Battagram-II | Statement: [Battagram Tehsil, locatedInProvincialConstituency, PK-29 Battagram-II]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: PK-29 Battagram-II
Triple: [Battagram Tehsil, locatedInProvincialConstituency, PK-29 Battagram-II]
Generated description
PK-29 Battagram-II is a provincial electoral constituency in Pakistan’s Khyber Pakhtunkhwa Assembly that encompasses the Battagram Tehsil area.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: locatedInProvincialConstituency
Context triple: [Battagram Tehsil, locatedInProvincialConstituency, PK-29 Battagram-II]
  • A. locatedInProvincialElectoralDistrict chosen
    Indicates that one entity is situated within the boundaries of a specific provincial electoral district.
  • B. locatedInFederalElectoralDistrict
    Indicates that one entity is geographically situated within the boundaries of a specific federal electoral district.
  • C. locatedInElectoralRegion
    Indicates that an entity is situated within the boundaries of a specific electoral region or district.
  • D. constituencyLocatedIn
    Indicates that a political or electoral constituency is geographically situated within a specified larger administrative or territorial area.
  • E. representedInProvincialLegislatureBy
    Indicates that a geographic or political area is politically represented by a specific member or body in a provincial legislature.
  • F. None of above.

Provenance (6 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_69f76ebf0f288190ba198a78341613b8 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a037c8efcd4819088c2aeead65d93df completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40824d12448190bab30cfad9823c2c completed June 28, 2026, 2:09 a.m.
NEDg Description generation batch_6a408492e5ec8190bd0107aaac82e291 completed June 28, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_6a4084fb37f881909e2a7db9dc234507 completed June 28, 2026, 2:20 a.m.
PD Predicate disambiguation batch_6a037a13a1308190a202df66f4781855 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:16 p.m.