Triple

T22609715
Position Surface form Disambiguated ID Type / Status
Subject Polańczyk E566666 entity
Predicate locatedNear P294 FINISHED
Object Solina Dam 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: Solina Dam | Statement: [Polańczyk, locatedNear, Solina Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Solina Dam
Context triple: [Polańczyk, locatedNear, Solina Dam]
  • A. Solina Dam chosen
    Solina Dam is a major hydroelectric and flood-control dam in southeastern Poland, known for creating the large artificial Solina Lake in the Bieszczady region.
  • B. Daivões Dam
    Daivões Dam is a hydroelectric dam located on Portugal’s Tâmega River, forming part of the Tâmega electroproduction system.
  • C. Edea Dam
    Edea Dam is a major hydroelectric power facility in Cameroon that harnesses the flow of the Sanaga River to generate electricity.
  • D. Orava Dam
    Orava Dam is a major hydroelectric and flood-control structure in northern Slovakia that impounds the Orava River to form one of the country’s largest artificial lakes.
  • E. Votkinsk Dam
    Votkinsk Dam is a major hydroelectric dam on the Kama River in Russia, integral to regional power generation and water management.
  • 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_69e245884860819081046ce07d5872c4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f167e9245c81908e36ffcd16737a9d completed April 29, 2026, 2:07 a.m.
Created at: April 17, 2026, 2:56 p.m.