Triple

T22309056
Position Surface form Disambiguated ID Type / Status
Subject Rio Tietê E551463 entity
Predicate hasDam P8736 FINISHED
Object Três Irmãos 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: Três Irmãos Dam | Statement: [Rio Tietê, hasDam, Três Irmãos Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Três Irmãos Dam
Context triple: [Rio Tietê, hasDam, Três Irmãos Dam]
  • A. Três Irmãos Dam chosen
    Três Irmãos Dam is a large hydroelectric and flood-control dam complex located on the Tietê River in the state of São Paulo, Brazil.
  • B. Promissão Dam
    Promissão Dam is a hydroelectric and water management structure located on the Tietê River in the state of São Paulo, Brazil.
  • C. Paraibuna
    Paraibuna is a small municipality in the state of São Paulo, Brazil, known for its rural landscape and the Paraibuna River and reservoir that cross its territory.
  • D. Ometo
    Ometo is a branch of the Omotic language family spoken in southwestern Ethiopia, encompassing several closely related languages and dialects.
  • E. Ometo
    Ometo is another name for the Wolaytta language, an Omotic language spoken primarily in southwestern Ethiopia.
  • 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_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1574c8a248190bf5eef5be78381fd completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:42 p.m.