Triple

T23348948
Position Surface form Disambiguated ID Type / Status
Subject Rio Zêzere E591951 entity
Predicate flowsThrough P225 FINISHED
Object Sertã region 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: Sertã region | Statement: [Rio Zêzere, flowsThrough, Sertã region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sertã region
Context triple: [Rio Zêzere, flowsThrough, Sertã region]
  • A. Beira Baixa chosen
    Beira Baixa is a historical region in central Portugal known for its rugged landscapes, traditional villages, and cultural heritage.
  • B. Alverca do Ribatejo
    Alverca do Ribatejo is a town and civil parish in the Lisbon District of Portugal, known historically for its aviation industry and proximity to the Tagus River.
  • C. Beira Interior
    Beira Interior is a historical region in central Portugal known for its mountainous landscapes, fortified towns, and long-standing cultural and agricultural traditions.
  • D. Peneda-Gerês
    Peneda-Gerês is a rugged, biodiverse mountain range that forms the core of Portugal’s only national park, renowned for its granite peaks, forests, and traditional villages.
  • E. Norte Region (Portugal)
    The Norte Region is the most populous region of Portugal, encompassing major cities like Porto and Braga and known for its historic centers, wine production, and industrial economy.
  • 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.