Triple

T1777226
Position Surface form Disambiguated ID Type / Status
Subject Potohari E39207 entity
Predicate spokenIn P2266 FINISHED
Object Attock District E186757 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: Attock District | Statement: [Potohari, spokenIn, Attock District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Attock District
Context triple: [Potohari, spokenIn, Attock District]
  • A. Rawalpindi District
    Rawalpindi District is an administrative district in Pakistan’s Punjab province that includes the city of Rawalpindi and surrounding urban and rural areas.
  • B. Chakwal
    Chakwal is a city in Pakistan’s Punjab province, known as a regional administrative and commercial center in the Potohar Plateau area.
  • C. Attock chosen
    Attock is a historic city in northern Pakistan strategically located along the Indus River, long serving as a key gateway between the Punjab region and Khyber Pakhtunkhwa.
  • D. Shikarpur District
    Shikarpur District is a historic administrative region in the Sindh province of present-day Pakistan, known for its role as a commercial and cultural center, especially during the British colonial period.
  • E. Sialkot
    Sialkot is a major industrial city in Pakistan’s Punjab province, renowned globally for its production of sports goods and surgical instruments.
  • 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_69adbf4fd0ec8190904f1ad2155c58bf completed March 8, 2026, 6:26 p.m.
Created at: March 4, 2026, 7:31 p.m.