Triple

T20262478
Position Surface form Disambiguated ID Type / Status
Subject Bhavani River E498878 entity
Predicate hasDam P8736 FINISHED
Object Bhavanisagar Dam 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: Bhavanisagar Dam | Statement: [Bhavani River, hasDam, Bhavanisagar Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bhavanisagar Dam
Context triple: [Bhavani River, hasDam, Bhavanisagar Dam]
  • A. Bhavanisagar Dam chosen
    Bhavanisagar Dam is a major masonry dam in Tamil Nadu, India, known for irrigation, flood control, and hydroelectric power generation.
  • B. Sanjeevaiah Sagar Dam
    Sanjeevaiah Sagar Dam is a major irrigation and water storage structure built across the Penna River in the Indian state of Andhra Pradesh.
  • C. Basava Sagara Dam
    Basava Sagara Dam is a major reservoir and irrigation dam on the Krishna River in Karnataka, India, supporting agriculture, drinking water supply, and regional development.
  • D. Malaprabha Dam
    Malaprabha Dam is a major irrigation and water-supply dam built across the Malaprabha River in Karnataka, India.
  • E. Bhandardara Dam
    Bhandardara Dam, also known as Wilson Dam, is a historic masonry dam on the Pravara River in Maharashtra, India, renowned for its scenic reservoir, waterfalls, and surrounding hill-station landscape.
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e674cba2748190a886ecd8316dc518 completed April 20, 2026, 6:47 p.m.
Created at: April 11, 2026, 11:41 p.m.