Triple

T23348958
Position Surface form Disambiguated ID Type / Status
Subject Rio Zêzere E591951 entity
Predicate hasDam P8736 FINISHED
Object Bouçã 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: Bouçã Dam | Statement: [Rio Zêzere, hasDam, Bouçã Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bouçã Dam
Context triple: [Rio Zêzere, hasDam, Bouçã Dam]
  • A. Bouçã Dam chosen
    Bouçã Dam is a hydroelectric dam and reservoir located on the Zêzere River in central Portugal.
  • B. Alto Tâmega Dam
    The Alto Tâmega Dam is a hydroelectric dam in northern Portugal that forms part of the Tâmega River energy and water management system.
  • C. Gouvães Dam
    Gouvães Dam is a hydroelectric dam in northern Portugal that forms part of the Tâmega River energy complex, contributing to regional power generation and water management.
  • D. Porto Primavera Dam
    Porto Primavera Dam is a large hydroelectric dam on the Paraná River in Brazil, known for its significant power generation capacity and role in regional water management.
  • E. Carraízo Dam
    Carraízo Dam is a major flood-control and water-supply structure in Puerto Rico that impounds the Loíza River to form the Carraízo Reservoir serving the San Juan metropolitan area.
  • 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_69e25d20e3d08190bcede87673cafb25 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f199cb2a3c8190a5c0c8d8735256c7 completed April 29, 2026, 5:40 a.m.
Created at: April 17, 2026, 5:19 p.m.