Triple

T1995552
Position Surface form Disambiguated ID Type / Status
Subject Douro River E43349 entity
Predicate cityOnRiver P165 FINISHED
Object Pinhão E87268 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: Pinhão | Statement: [Douro River, cityOnRiver, Pinhão]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pinhão
Context triple: [Douro River, cityOnRiver, Pinhão]
  • A. Viseu
    Viseu is a historic inland city in central Portugal known for its well-preserved medieval center, wine production, and cultural heritage.
  • B. Serpa
    Serpa is a historic walled town and municipality in Portugal’s Alentejo region, known for its medieval architecture, whitewashed houses, and traditional cheese production.
  • C. Covas do Douro chosen
    Covas do Douro is a civil parish in northern Portugal’s Douro Valley, known for its wine-producing landscape and inclusion in the municipality of Sabrosa.
  • D. Jordão
    Jordão is a neighborhood of Recife, Brazil, known as a largely residential area on the city’s outskirts.
  • E. Zêzere River
    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.
  • 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_69a88714cf2c819081644be450b8356e completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb86537748190a2b5e3fd44ac6430 completed March 7, 2026, 5:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae033c6cf88190acf6418f0d784914 completed March 8, 2026, 11:16 p.m.
Created at: March 4, 2026, 7:37 p.m.