Triple

T23194160
Position Surface form Disambiguated ID Type / Status
Subject Gah E579828 entity
Predicate locatedIn P40 FINISHED
Object Chakwal District E727209 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: Chakwal District | Statement: [Gah, locatedIn, Chakwal District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chakwal District
Context triple: [Gah, locatedIn, Chakwal District]
  • A. Chakwal District chosen
    Chakwal District is an administrative district in Pakistan’s Punjab province, known for its predominantly rural landscape, agriculture, and significant military recruitment.
  • B. Khanewal District
    Khanewal District is an administrative district in the Punjab province of Pakistan, known for its agricultural economy and location within the Multan Division.
  • C. Bahawalnagar district
    Bahawalnagar district is an administrative region in Punjab, Pakistan, known for its agricultural economy and culturally diverse population.
  • D. Narowal District
    Narowal District is an administrative district in Pakistan’s Punjab province, notable for containing the important Sikh pilgrimage site Gurdwara Darbar Sahib Kartarpur.
  • E. Sargodha District
    Sargodha District is an administrative district in Punjab, Pakistan, known for its agricultural productivity and citrus orchards, particularly kinnow.
  • 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_69e24600eed08190bd7e5295653a1503 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18fda64cc8190aeb5ccd8d8d20858 completed April 29, 2026, 4:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c30bcb5d4819088b89ef3aa187791 completed May 19, 2026, 9:43 a.m.
Created at: April 17, 2026, 4:06 p.m.