Triple

T22273912
Position Surface form Disambiguated ID Type / Status
Subject Sholay E550550 entity
Predicate filmingLocation P40 FINISHED
Object Ramanagara, Karnataka 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: Ramanagara, Karnataka | Statement: [Sholay, filmingLocation, Ramanagara, Karnataka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramanagara, Karnataka
Context triple: [Sholay, filmingLocation, Ramanagara, Karnataka]
  • A. Ramanagara chosen
    Ramanagara is a town in the Indian state of Karnataka, known for its silk industry and rocky hills, and for being a major shooting location for the film "Sholay."
  • B. Ramanagara taluk
    Ramanagara taluk is an administrative subdivision and the headquarters region of Ramanagara district in the Indian state of Karnataka.
  • C. Krishnagiri
    Krishnagiri is a town in the Indian state of Tamil Nadu known for its strategic location as a major road junction and its surrounding mango-growing region.
  • D. Ramanagara district
    Ramanagara district is a region in the Indian state of Karnataka known for its rocky hills, silk industry, and proximity to Bengaluru.
  • E. Bhatkal
    Bhatkal is a historic coastal town in Karnataka, India, known for its Arabian Sea shoreline, trading legacy, and distinctive Nawayath Muslim culture.
  • 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea547e4819098baf88f3c605242 completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.