Triple

T17474111
Position Surface form Disambiguated ID Type / Status
Subject Whakamaru Power Station E425492 entity
Predicate downstreamFrom P5956 FINISHED
Object Atiamuri Power Station 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: Atiamuri Power Station | Statement: [Whakamaru Power Station, downstreamFrom, Atiamuri Power Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atiamuri Power Station
Context triple: [Whakamaru Power Station, downstreamFrom, Atiamuri Power Station]
  • A. Atiamuri Power Station chosen
    Atiamuri Power Station is a hydroelectric power station in New Zealand that generates electricity from the flow of the Waikato River.
  • B. Kiira Power Station
    Kiira Power Station is a major hydroelectric power plant on the Nile River in Uganda that significantly contributes to the country’s electricity generation.
  • C. Matimba Power Station
    Matimba Power Station is a large coal-fired power plant in South Africa and one of the key facilities in the country’s electricity generation network.
  • D. Karapiro Power Station
    Karapiro Power Station is a hydroelectric power station in New Zealand that harnesses the flow of the Waikato River to generate electricity.
  • E. Matla Power Station
    Matla Power Station is a large coal-fired power plant in South Africa that is a major contributor to the country’s electricity generation.
  • 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451baa7b0819092035fec42305397 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.