Triple

T21303052
Position Surface form Disambiguated ID Type / Status
Subject Singrauli district E525117 entity
Predicate hasDam P8736 FINISHED
Object Rihand 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: Rihand Dam | Statement: [Singrauli district, hasDam, Rihand Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rihand Dam
Context triple: [Singrauli district, hasDam, Rihand Dam]
  • A. Rihand Dam chosen
    Rihand Dam is a large concrete gravity dam on the Rihand River in Uttar Pradesh, India, primarily built for hydroelectric power generation and irrigation.
  • B. Maithon Dam
    Maithon Dam is a major multipurpose dam in Jharkhand, India, known for flood control, hydroelectric power generation, and supporting irrigation in the Damodar Valley region.
  • C. Ralco Dam
    Ralco Dam is a major hydroelectric power plant in Chile, known for its large reservoir and controversial impact on the local environment and indigenous communities.
  • D. Naghlu Dam
    Naghlu Dam is a major hydroelectric and irrigation dam in Afghanistan, located east of Kabul and serving as a key source of power and water management for the region.
  • E. Vaigai Dam
    Vaigai Dam is a major masonry dam in Tamil Nadu, India, built across the Vaigai River to provide irrigation, drinking water, and hydroelectric power to the surrounding regions.
  • 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385da340819083c07f353f2142b0 completed April 21, 2026, 8:42 a.m.
Created at: April 16, 2026, 4:05 p.m.