Triple

T2488606
Position Surface form Disambiguated ID Type / Status
Subject Omkareshwar Dam E55986 entity
Predicate upstreamFrom P5955 FINISHED
Object Maheshwar Dam E274893 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: Maheshwar Dam | Statement: [Omkareshwar Dam, upstreamFrom, Maheshwar Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maheshwar Dam
Context triple: [Omkareshwar Dam, upstreamFrom, Maheshwar Dam]
  • A. Maheshwar Dam chosen
    Maheshwar Dam is a major hydroelectric and irrigation dam on the Narmada River in Madhya Pradesh, India, known for its role in regional power generation and its controversial social and environmental impacts.
  • B. 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.
  • C. Omkareshwar Dam
    Omkareshwar Dam is a major hydroelectric and irrigation dam built on the Narmada River in the Indian state of Madhya Pradesh.
  • D. Navilatirtha Dam
    Navilatirtha Dam is a major irrigation and water management structure built across the Malaprabha River in Karnataka, India.
  • E. Bhima Dam
    Bhima Dam is a major irrigation and water management structure built across the Bhima River in India.
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd179c44881909cd6c7626cadaf10 completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc020a6f881909b045d7d93bb9880 completed March 10, 2026, 6:54 a.m.
Created at: March 6, 2026, 9:45 p.m.