Triple

T21939563
Position Surface form Disambiguated ID Type / Status
Subject Marathi Bhakti saints E541781 entity
Predicate associatedPlaceOfWorship P57033 FINISHED
Object Pandharpur 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: Pandharpur | Statement: [Marathi Bhakti saints, associatedPlaceOfWorship, Pandharpur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pandharpur
Context triple: [Marathi Bhakti saints, associatedPlaceOfWorship, Pandharpur]
  • A. Pandharpur chosen
    Pandharpur is a major pilgrimage town in Maharashtra, India, renowned for its Vitthal (Vithoba) temple and its central role in the Bhakti movement.
  • B. Shirdi
    Shirdi is a prominent pilgrimage town in Maharashtra, India, best known as the home and shrine of the revered saint Sai Baba.
  • C. Mahadevapura
    Mahadevapura is a rapidly developing residential and commercial neighborhood in eastern Bengaluru, India, known for its proximity to major IT parks and tech hubs.
  • D. Vithalwadi
    Vithalwadi is a suburban railway station in the Mumbai metropolitan area that serves local commuters on the Central Line.
  • E. Bhawanipatna
    Bhawanipatna is a town in the Indian state of Odisha known as an administrative and commercial center of the Kalahandi region.
  • 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1241f582c81909a244419cec38b19 completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:55 p.m.