Triple

T21574031
Position Surface form Disambiguated ID Type / Status
Subject Ahmad Sirhindi E532352 entity
Predicate birthPlace P1 FINISHED
Object Sirhind NE NERFINISHED

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: Sirhind | Statement: [Ahmad Sirhindi, birthPlace, Sirhind]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sirhind
Context triple: [Ahmad Sirhindi, birthPlace, Sirhind]
  • A. Sirhind chosen
    Sirhind is a historic town in the Fatehgarh Sahib district of Punjab, India, known for its significant role in Sikh history and as a former Mughal administrative center.
  • B. Jullundur
    Jullundur is the former English spelling of Jalandhar, a major city in the Indian state of Punjab.
  • C. Nawanshahr
    Nawanshahr is a town and district headquarters in the Doaba region of Punjab, India, known for its agricultural base and significant Punjabi diaspora.
  • D. Abohar
    Abohar is a town in the Fazilka district of Punjab, India, known for its agricultural produce and location near the Rajasthan and Haryana borders.
  • E. Nadiad
    Nadiad is a city in the Indian state of Gujarat, historically notable as the birthplace of independence leader Sardar Vallabhbhai Patel.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c4618bec8190bcb0feb74568cbb1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eee9cef2748190990a81967d49b706 completed April 27, 2026, 4:45 a.m.
Created at: April 16, 2026, 6:30 p.m.