Triple

T5371935
Position Surface form Disambiguated ID Type / Status
Subject Krishna River E108869 entity
Predicate hasDam P8736 FINISHED
Object Almatti Dam E33538 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: Almatti Dam | Statement: [Krishna River, hasDam, Almatti Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Almatti Dam
Context triple: [Krishna River, hasDam, Almatti Dam]
  • A. Almatti Dam chosen
    Almatti Dam is a major hydroelectric and irrigation dam in Karnataka, India, built across the Krishna River as part of the Upper Krishna Project.
  • B. Zhinvali Dam
    Zhinvali Dam is a large hydroelectric dam and reservoir in eastern Georgia, known for its striking turquoise waters and role in supplying water and power to the region.
  • C. Shashe Dam
    Shashe Dam is a water reservoir structure built on the Shashe River, primarily used for water supply, irrigation, and regional resource management.
  • D. Bargi Dam
    Bargi Dam is a major multipurpose dam built on the Narmada River in Madhya Pradesh, India, primarily used for irrigation, hydropower generation, and flood control.
  • E. Salagou Dam
    Salagou Dam is a French hydraulic structure in the Hérault department that created the artificial Lac du Salagou, now known for its striking red landscapes and recreational activities.
  • 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.