Triple

T11837672
Position Surface form Disambiguated ID Type / Status
Subject Punjab (Pakistan) E281559 entity
Predicate hasMajorCity P316 FINISHED
Object Sheikhupura E522493 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: Sheikhupura | Statement: [Punjab (Pakistan), hasMajorCity, Sheikhupura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sheikhupura
Context triple: [Punjab (Pakistan), hasMajorCity, Sheikhupura]
  • A. Mauzamabad
    Mauzamabad is a village-level settlement located within the Jaipur district of the Indian state of Rajasthan.
  • B. Rajanpur
    Rajanpur is a city in Pakistan known as an administrative and commercial center in the southern part of Punjab province.
  • C. Shikarpur
    Shikarpur is a historic city in the Sindh province of Pakistan, known for its old trading heritage and distinctive cultural and architectural traditions.
  • D. Sheikhupura District chosen
    Sheikhupura District is an administrative district in Pakistan’s Punjab province, known for its agricultural economy and proximity to the provincial capital, Lahore.
  • E. Hussainiwala
    Hussainiwala is a village and memorial site in Punjab, India, known for housing the martyrdom memorials of Indian freedom fighters Bhagat Singh, Rajguru, and Sukhdev near the India–Pakistan border.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a62fec0881908c7b89c0b5bcc9a2 completed April 10, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69f48a35f9d081909c4cc7d7ce78e4fc completed May 1, 2026, 11:10 a.m.
Created at: April 8, 2026, 9:43 p.m.