Triple

T1777223
Position Surface form Disambiguated ID Type / Status
Subject Potohari E39207 entity
Predicate spokenIn P2266 FINISHED
Object Rawalpindi District E184399 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: Rawalpindi District | Statement: [Potohari, spokenIn, Rawalpindi District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rawalpindi District
Context triple: [Potohari, spokenIn, Rawalpindi District]
  • A. Rawalpindi District chosen
    Rawalpindi District is an administrative district in Pakistan’s Punjab province that includes the city of Rawalpindi and surrounding urban and rural areas.
  • B. Gujranwala
    Gujranwala is a major industrial city in Pakistan’s Punjab province, known for its manufacturing base and historical significance in the region.
  • C. Chakwal
    Chakwal is a city in Pakistan’s Punjab province, known as a regional administrative and commercial center in the Potohar Plateau area.
  • D. Haripur
    Haripur is a city in northern Pakistan known as an administrative and commercial center in the Hazara region of Khyber Pakhtunkhwa.
  • E. Karachi District
    Karachi District is an administrative district in the Sindh province of Pakistan that encompasses much of the metropolitan area of Karachi, the country’s largest city and economic hub.
  • 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_69a88630519c8190a17addd83c4a3ef4 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64b967f08190a73216361b9c2d83 completed March 6, 2026, 5:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada99a81c08190b602858708263193 completed March 8, 2026, 4:53 p.m.
Created at: March 4, 2026, 7:31 p.m.