Triple

T13901548
Position Surface form Disambiguated ID Type / Status
Subject Khadur Sahib E334233 entity
Predicate locatedNear P294 FINISHED
Object Amritsar E23792 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: Amritsar | Statement: [Khadur Sahib, locatedNear, Amritsar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amritsar
Context triple: [Khadur Sahib, locatedNear, Amritsar]
  • A. Amritsar chosen
    Amritsar is a historic city in the Indian state of Punjab, renowned as the spiritual center of Sikhism and home to the Golden Temple.
  • B. Phagwara
    Phagwara is a prominent industrial and commercial city in the Indian state of Punjab, known for its textile and agricultural machinery industries and its location on the major highway between Ludhiana and Jalandhar.
  • C. Jullundur
    Jullundur is the former English spelling of Jalandhar, a major city in the Indian state of Punjab.
  • D. Jalandhar
    Jalandhar is a major city in the Indian state of Punjab, known as an important commercial and cultural center, particularly famous for its sports goods and manufacturing industries.
  • E. Nawanshahr
    Nawanshahr is a town and district headquarters in the Doaba region of Punjab, India, known for its agricultural base and significant Punjabi diaspora.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de25d9c7a48190ad8fb0ca676f4f7b completed April 14, 2026, 11:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c7100b308190bdd5feaa116ee5fe completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:15 p.m.