Triple

T22119890
Position Surface form Disambiguated ID Type / Status
Subject Parque Natural de Sintra-Cascais E546636 entity
Predicate partOf P40 FINISHED
Object Sintra-Cascais bioregion 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: Sintra-Cascais bioregion | Statement: [Parque Natural de Sintra-Cascais, partOf, Sintra-Cascais bioregion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sintra-Cascais bioregion
Context triple: [Parque Natural de Sintra-Cascais, partOf, Sintra-Cascais bioregion]
  • 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. Serra da Estrela subregion
    Serra da Estrela subregion is an area in central Portugal known for encompassing the country’s highest mountain range, natural parks, and traditional mountain towns.
  • C. Serra do Açor region
    The Serra do Açor region is a mountainous area in central Portugal known for its rugged landscapes, schist villages, and rich natural and cultural heritage.
  • D. Centro Region of Portugal
    The Centro Region of Portugal is a large and diverse area in central Portugal known for its historic cities, coastal resorts, mountainous landscapes, and rich cultural heritage.
  • E. Alto Alentejo
    Alto Alentejo is a subregion in northern Alentejo, Portugal, known for its historic towns, rural landscapes, and traditional agriculture.
  • 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: Sintra-Cascais bioregion
Target entity description: The Sintra-Cascais bioregion is a coastal ecological area in western Portugal known for its diverse Atlantic-influenced habitats, dramatic cliffs, and rich biodiversity surrounding the Sintra-Cascais 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. Serra da Estrela subregion
    Serra da Estrela subregion is an area in central Portugal known for encompassing the country’s highest mountain range, natural parks, and traditional mountain towns.
  • C. Serra do Açor region
    The Serra do Açor region is a mountainous area in central Portugal known for its rugged landscapes, schist villages, and rich natural and cultural heritage.
  • D. Centro Region of Portugal
    The Centro Region of Portugal is a large and diverse area in central Portugal known for its historic cities, coastal resorts, mountainous landscapes, and rich cultural heritage.
  • E. Alto Alentejo
    Alto Alentejo is a subregion in northern Alentejo, Portugal, known for its historic towns, rural landscapes, and traditional agriculture.
  • 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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12950f5348190b204fbc347fd5dab completed April 28, 2026, 9:40 p.m.
Created at: April 16, 2026, 8:31 p.m.