Triple

T22508773
Position Surface form Disambiguated ID Type / Status
Subject Goindwal E556459 entity
Predicate near P350 FINISHED
Object Khadur Sahib 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: Khadur Sahib | Statement: [Goindwal, near, Khadur Sahib]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khadur Sahib
Context triple: [Goindwal, near, Khadur Sahib]
  • A. Khadur Sahib chosen
    Khadur Sahib is a historic town in Punjab, India, revered as an important Sikh religious center closely associated with Guru Angad Dev Ji.
  • B. Hemkunt Sahib
    Hemkunt Sahib is a revered Sikh gurudwara and high-altitude pilgrimage site in the Indian Himalayas, associated with Guru Gobind Singh.
  • C. Rehras Sahib
    Rehras Sahib is an evening Sikh prayer composed of hymns from the Guru Granth Sahib that offers gratitude, reflection, and spiritual strength at the close of the day.
  • D. Chamkaur Sahib
    Chamkaur Sahib is a historic town in Punjab, India, renowned as the site of a major 1704 battle in Sikh history involving Guru Gobind Singh and his followers.
  • E. Lurgan Sahib
    Lurgan Sahib is a mysterious and skilled gem-dealer and spy-master who mentors the protagonist Kim in the arts of observation and espionage in Rudyard Kipling’s novel "Kim."
  • 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d5ebe5881908a22d519128415f2 completed April 29, 2026, 1:22 a.m.
Created at: April 16, 2026, 8:50 p.m.