Triple

T13981772
Position Surface form Disambiguated ID Type / Status
Subject Kabini E336327 entity
Predicate hasDam P8736 FINISHED
Object Kabini Dam E65068 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: Kabini Dam | Statement: [Kabini, hasDam, Kabini Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kabini Dam
Context triple: [Kabini, hasDam, Kabini Dam]
  • A. Kabini Dam chosen
    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.
  • B. Bhavanisagar Dam
    Bhavanisagar Dam is a major masonry dam in Tamil Nadu, India, known for irrigation, flood control, and hydroelectric power generation.
  • C. 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.
  • D. 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.
  • E. Nizam Sagar Dam
    Nizam Sagar Dam is a major irrigation and water-supply reservoir built across the Manjira River in the Indian state of Telangana.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ea10dc88190b9720919a021e570 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd323e89948190bb280e93e2058c0a completed May 8, 2026, 12:45 a.m.
Created at: April 9, 2026, 10:18 p.m.