Triple

T15346274
Position Surface form Disambiguated ID Type / Status
Subject Cluny Dam E366926 entity
Predicate downstreamFrom P5956 FINISHED
Object Wayatinah Power Station E1144314 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: Wayatinah Power Station | Statement: [Cluny Dam, downstreamFrom, Wayatinah Power Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wayatinah Power Station
Context triple: [Cluny Dam, downstreamFrom, Wayatinah Power Station]
  • A. Wayatinah Power Station chosen
    Wayatinah Power Station is a hydroelectric power facility in Tasmania, Australia, that generates electricity using water from the Derwent River system.
  • 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. Markaba power station
    Markaba power station is a hydroelectric facility in Lebanon that harnesses the flow of the Litani River to generate electricity.
  • D. Atiamuri Power Station
    Atiamuri Power Station is a hydroelectric power station in New Zealand that generates electricity from the flow of the Waikato River.
  • E. Uri I Power Station
    Uri I Power Station is a major hydroelectric power facility in Jammu and Kashmir, India, utilizing water from the Jhelum River to generate electricity.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e1749bc8190a8b9cbcb27288a5b completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01f931408190828d87567cecaceb completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:17 a.m.