Triple

T5353730
Position Surface form Disambiguated ID Type / Status
Subject Maharana Pratap Sagar E102637 entity
Predicate formedBy P972 FINISHED
Object Pong Dam E103459 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: Pong Dam | Statement: [Maharana Pratap Sagar, formedBy, Pong Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pong Dam
Context triple: [Maharana Pratap Sagar, formedBy, Pong Dam]
  • A. Pong Dam chosen
    Pong Dam is a large embankment dam in Himachal Pradesh, India, primarily built for irrigation, flood control, and hydroelectric power generation on the Beas River.
  • B. Pangue Dam
    Pangue Dam is a major hydroelectric power facility in Chile, built on the Biobío River to generate electricity and support the country’s energy needs.
  • C. Wlingi Dam
    Wlingi Dam is a hydroelectric and irrigation dam located on the Brantas River in East Java, Indonesia.
  • D. Gangau Dam
    Gangau Dam is a masonry dam built across the Ken River in Madhya Pradesh, India, primarily used for irrigation and water storage.
  • E. Jirau Dam
    Jirau Dam is a large hydroelectric power plant in Brazil, built on the Madeira River as part of the country’s major Amazon basin energy infrastructure.
  • 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_69bd43d8f7248190b64c140734b5c9a8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd86149774819084049a8785e3f2e0 completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf33395b248190a1552288a3d5213c completed March 22, 2026, 12:09 a.m.
Created at: March 20, 2026, 2:01 p.m.