Triple

T22607038
Position Surface form Disambiguated ID Type / Status
Subject Pauliteiros costume E566587 entity
Predicate culturalRegion P1968 FINISHED
Object Miranda do Douro area NE NERFINISHED

How this triple was built (3 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: Miranda do Douro area | Statement: [Pauliteiros costume, culturalRegion, Miranda do Douro area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miranda do Douro area
Context triple: [Pauliteiros costume, culturalRegion, Miranda do Douro area]
  • A. Alentejo–Lisbon transition area
    The Alentejo–Lisbon transition area is a geographic and socio-economic zone in Portugal that forms a transitional belt between the rural Alentejo region and the more urbanized Lisbon metropolitan area.
  • B. Porto region
    The Porto region is a historic area in northern Portugal centered on the city of Porto, renowned for its cultural heritage, economic importance, and production of Port wine.
  • 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. Alentejo-Ribatejo area
    The Alentejo-Ribatejo area is a historical region in central-southern Portugal known for its agricultural plains, vineyards, and traditional rural landscapes along the Tagus River.
  • E. Covas do Douro
    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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Miranda do Douro area
Target entity description: The Miranda do Douro area is a culturally distinct region in northeastern Portugal known for its Mirandese language, traditional folk dances, and rich cross-border heritage with neighboring Spain.
  • A. Alentejo–Lisbon transition area
    The Alentejo–Lisbon transition area is a geographic and socio-economic zone in Portugal that forms a transitional belt between the rural Alentejo region and the more urbanized Lisbon metropolitan area.
  • B. Porto region
    The Porto region is a historic area in northern Portugal centered on the city of Porto, renowned for its cultural heritage, economic importance, and production of Port wine.
  • 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. Alentejo-Ribatejo area
    The Alentejo-Ribatejo area is a historical region in central-southern Portugal known for its agricultural plains, vineyards, and traditional rural landscapes along the Tagus River.
  • E. Covas do Douro
    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.
  • F. None of above. chosen

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_69e245884860819081046ce07d5872c4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f167e75658819089153eab7563540c completed April 29, 2026, 2:07 a.m.
Created at: April 17, 2026, 2:54 p.m.