Triple

T13610908
Position Surface form Disambiguated ID Type / Status
Subject Kodagu district E325183 entity
Predicate hasTouristAttraction P530 FINISHED
Object Talakaveri E1014749 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: Talakaveri | Statement: [Kodagu district, hasTouristAttraction, Talakaveri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Talakaveri
Context triple: [Kodagu district, hasTouristAttraction, Talakaveri]
  • A. Talakaveri chosen
    Talakaveri is a sacred pilgrimage site in the Brahmagiri Hills of Karnataka, India, revered as the origin of the river Kaveri and home to important Hindu shrines.
  • B. Bhavani
    Bhavani is a fierce and protective form of the Hindu goddess Devi, often associated with power, motherhood, and the destruction of evil.
  • C. Bhavani
    Bhavani is a town in the Erode district of Tamil Nadu, India, known for its location at the confluence of the Bhavani and Cauvery rivers and its prominent temples.
  • D. Bhavani
    Bhavani is a significant river in southern India, known for flowing through Tamil Nadu and contributing majorly to the Kaveri river system.
  • E. Sadanandavathi
    Sadanandavathi was the first wife of Indian actor and politician M. G. Ramachandran.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0aa9a1481908c6f92495aff86c6 completed April 12, 2026, 2:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7942e8c9c8190ab843cc4c31f512a completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:50 p.m.