Triple

T21589287
Position Surface form Disambiguated ID Type / Status
Subject Municipality of Sintra E532736 entity
Predicate contains P35 FINISHED
Object Massamá e Monte Abraão 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: Massamá e Monte Abraão | Statement: [Municipality of Sintra, contains, Massamá e Monte Abraão]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Massamá e Monte Abraão
Context triple: [Municipality of Sintra, contains, Massamá e Monte Abraão]
  • A. Camorim Massif
    Camorim Massif is a prominent mountainous formation in Rio de Janeiro known for its Atlantic Forest vegetation, hiking trails, and role in local water catchment and conservation.
  • B. Penha Mountain
    Penha Mountain is a prominent natural and religious landmark overlooking the city of Guimarães in northern Portugal, known for its scenic views, forests, and the Sanctuary of Nossa Senhora da Penha.
  • C. Serra da Gardunha
    Serra da Gardunha is a mountain range in central Portugal known for its natural landscapes, chestnut groves, and hiking trails near the town of Fundão.
  • D. Morro Branco
    Morro Branco is a famous beach in the Brazilian state of Ceará, known for its colorful sand cliffs, labyrinthine sand formations, and scenic coastal landscapes.
  • E. Penha
    Penha is a coastal municipality in the state of Santa Catarina in southern Brazil, known for its beaches and the Beto Carrero World theme park.
  • 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: Massamá e Monte Abraão
Target entity description: Massamá e Monte Abraão is a civil parish in the Lisbon metropolitan area of Portugal, known as a densely populated residential suburb of the city of Sintra.
  • A. Camorim Massif
    Camorim Massif is a prominent mountainous formation in Rio de Janeiro known for its Atlantic Forest vegetation, hiking trails, and role in local water catchment and conservation.
  • B. Penha Mountain
    Penha Mountain is a prominent natural and religious landmark overlooking the city of Guimarães in northern Portugal, known for its scenic views, forests, and the Sanctuary of Nossa Senhora da Penha.
  • C. Serra da Gardunha
    Serra da Gardunha is a mountain range in central Portugal known for its natural landscapes, chestnut groves, and hiking trails near the town of Fundão.
  • D. Morro Branco
    Morro Branco is a famous beach in the Brazilian state of Ceará, known for its colorful sand cliffs, labyrinthine sand formations, and scenic coastal landscapes.
  • E. Penha
    Penha is a coastal municipality in the state of Santa Catarina in southern Brazil, known for its beaches and the Beto Carrero World theme park.
  • 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_69e0c46251648190876f0427cf2d321b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eefadb25108190b7a3d2e8dfc8ae60 completed April 27, 2026, 5:57 a.m.
Created at: April 16, 2026, 6:32 p.m.