Triple

T5371937
Position Surface form Disambiguated ID Type / Status
Subject Krishna River E108869 entity
Predicate hasDam P8736 FINISHED
Object Koyna Dam E251145 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: Koyna Dam | Statement: [Krishna River, hasDam, Koyna Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koyna Dam
Context triple: [Krishna River, hasDam, Koyna Dam]
  • A. Koyna Dam chosen
    Koyna Dam is a large masonry dam in Maharashtra, India, renowned for its major hydroelectric power project and role in water management in the Western Ghats region.
  • B. Kabini Dam
    Kabini Dam is a major reservoir and irrigation dam built across the Kabini River in Karnataka, India, supporting water supply, agriculture, and regional wildlife habitats.
  • C. Kolar Dam
    Kolar Dam is a reservoir and irrigation structure built on the Kolar River in Madhya Pradesh, India, primarily used for water supply and agricultural purposes.
  • D. Bhavanisagar Dam
    Bhavanisagar Dam is a major masonry dam in Tamil Nadu, India, known for irrigation, flood control, and hydroelectric power generation.
  • E. Ghataprabha Dam
    Ghataprabha Dam is a major irrigation and hydroelectric dam in Karnataka, India, built across the Ghataprabha River to support agriculture and water supply in the region.
  • 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_69bd440c77948190aad2a5f39b7b80f5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd86aa0f5c8190ba96554e75696f8e completed March 20, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3a94acc48190a4c0ea39c6b8a405 completed March 22, 2026, 12:40 a.m.
Created at: March 20, 2026, 2:02 p.m.