Triple

T8522318
Position Surface form Disambiguated ID Type / Status
Subject Pothohari E201721 entity
Predicate hasDialect P4251 FINISHED
Object Chakwalī E207629 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: Chakwalī | Statement: [Pothohari, hasDialect, Chakwalī]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chakwalī
Context triple: [Pothohari, hasDialect, Chakwalī]
  • A. Chakwal Potohari chosen
    Chakwal Potohari is a regional dialect of the Potohari language spoken primarily in and around the Chakwal district of Pakistan’s Punjab province.
  • B. Narowal
    Narowal is a city in the Punjab province of Pakistan, located close to the border with India and known for its agricultural surroundings and proximity to the Ravi River.
  • C. Amarkot
    Amarkot is an alternative name for Umarkot, a historic town and district in the Sindh province of Pakistan known for its cultural and Mughal-era significance.
  • D. Chakwal
    Chakwal is a city in Pakistan’s Punjab province, known as a regional administrative and commercial center in the Potohar Plateau area.
  • E. Nawabshah
    Nawabshah is a major city in Pakistan known as an important commercial and agricultural center in the Sindh 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_69ca8321bb44819081b74df0b710276d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe64215408190b45f462a32d3471d completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0542a84dc819092a1dce08cc12a6d completed April 3, 2026, 11:58 p.m.
Created at: March 30, 2026, 6:16 p.m.