Triple

T5462524
Position Surface form Disambiguated ID Type / Status
Subject Tukaram E122624 entity
Predicate associatedWithPlace P2830 FINISHED
Object Pandharpur E141388 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: Pandharpur | Statement: [Tukaram, associatedWithPlace, Pandharpur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pandharpur
Context triple: [Tukaram, associatedWithPlace, 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. Baramati
    Baramati is a town in the Pune district of Maharashtra, India, known as an agricultural and industrial hub with historical and political significance.
  • C. Nandod
    Nandod is the former name of the town now known as Rajpipla in the Indian state of Gujarat.
  • D. Kolhapur
    Kolhapur is a historic city in the Indian state of Maharashtra, known for its rich Maratha heritage, temples, and distinctive Kolhapuri cuisine and leather sandals.
  • E. Khandala
    Khandala is a popular hill station in Maharashtra, India, known for its scenic valleys, waterfalls, and trekking spots in the Western Ghats.
  • 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_69bd4643f16081908d7f29e08096115a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd92033dd08190a90bcae6b9f149d3 completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf488866088190b213bd641f8b247c completed March 22, 2026, 1:40 a.m.
Created at: March 20, 2026, 2:08 p.m.