Triple

T4139120
Position Surface form Disambiguated ID Type / Status
Subject Kharak Singh E89228 entity
Predicate placeOfBirth P1 FINISHED
Object Gujranwala E68483 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: Gujranwala | Statement: [Kharak Singh, placeOfBirth, Gujranwala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gujranwala
Context triple: [Kharak Singh, placeOfBirth, Gujranwala]
  • A. Gujranwala chosen
    Gujranwala is a major industrial city in Pakistan’s Punjab province, known for its manufacturing base and historical significance in the region.
  • B. Jhang
    Jhang is a historic city in the Punjab province of Pakistan, known for its cultural heritage and as the birthplace of several notable figures.
  • C. Rahim Yar Khan
    Rahim Yar Khan is a major city in southern Punjab, Pakistan, known as an important commercial and agricultural center in the Seraiki-speaking region.
  • D. Bahawalpur
    Bahawalpur is a historic city in southern Punjab, Pakistan, known for its former princely state status, grand palaces, and proximity to the Cholistan Desert.
  • E. Haripur
    Haripur is a city in northern Pakistan known as an administrative and commercial center in the Hazara region of Khyber Pakhtunkhwa.
  • 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_69aed95785788190ae75bcf0cd1cafdf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02485a788190ba6ee769e663b2d3 completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e4d8f9008190863a10e6d3fb0159 completed March 14, 2026, 10:44 p.m.
Created at: March 9, 2026, 3:43 p.m.