Triple

T17045104
Position Surface form Disambiguated ID Type / Status
Subject Santarém District E413546 entity
Predicate locatedOnRiver P165 FINISHED
Object Zêzere River E132565 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: Zêzere River | Statement: [Santarém District, locatedOnRiver, Zêzere River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zêzere River
Context triple: [Santarém District, locatedOnRiver, Zêzere River]
  • A. Zêzere River chosen
    The Zêzere River is a major river in central Portugal known for its scenic valleys, hydroelectric dams, and role in feeding the Castelo de Bode Reservoir.
  • B. Tâmega River
    The Tâmega River is a significant river in the Iberian Peninsula that flows through northern Portugal and parts of Spain, contributing notably to the Douro River basin.
  • C. Alto Tâmega
    Alto Tâmega is an inland subregion of northern Portugal known for its mountainous landscapes, thermal springs, and traditional rural communities.
  • D. Ribeira do Ulla
    Ribeira do Ulla is a subzone of Spain’s Rías Baixas wine region, known for producing fresh, aromatic white wines, particularly from the Albariño grape.
  • E. Linha do Vouga
    Linha do Vouga is a narrow-gauge railway line in central Portugal known for its scenic route and historic rolling stock.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3da9d7e988190a5e3991c7123f9b0 completed April 18, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ed472d48190bc6aed49464dc1ff completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:33 a.m.