Triple

T4753978
Position Surface form Disambiguated ID Type / Status
Subject Ferozepur E105542 entity
Predicate near P350 FINISHED
Object Hussainiwala E393188 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: Hussainiwala | Statement: [Ferozepur, near, Hussainiwala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hussainiwala
Context triple: [Ferozepur, near, Hussainiwala]
  • A. Hussainiwala chosen
    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.
  • B. Rajanpur
    Rajanpur is a city in Pakistan known as an administrative and commercial center in the southern part of Punjab province.
  • C. Khoshbagh
    Khoshbagh is a historic garden-cemetery complex in Murshidabad, West Bengal, known as the burial place of several Nawabs of Bengal.
  • D. Barwala
    Barwala is a prominent town in the Hisar district of Haryana, India, known as a local commercial and administrative center for surrounding rural areas.
  • E. 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.
  • 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_69bd43f07fa48190954317d01600994a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64e72d1c81908eb60960751e52b1 completed March 20, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a6600e481909c3fb1decf23d7d8 completed March 21, 2026, 6:27 a.m.
Created at: March 20, 2026, 1:20 p.m.