Triple

T22119902
Position Surface form Disambiguated ID Type / Status
Subject Parque Natural de Sintra-Cascais E546636 entity
Predicate contains P35 FINISHED
Object Malveira da Serra
Malveira da Serra is a small village in the Sintra-Cascais region of Portugal, known for its scenic hillside setting near the Atlantic coast and the Serra de Sintra.
E1519693 NE FINISHED

How this triple was built (4 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: Malveira da Serra | Statement: [Parque Natural de Sintra-Cascais, contains, Malveira da Serra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malveira da Serra
Context triple: [Parque Natural de Sintra-Cascais, contains, Malveira da Serra]
  • A. Amoreiras
    Amoreiras is a central Lisbon district known for its prominent shopping center, office towers, and distinctive modern architecture.
  • B. Almagreira
    Almagreira is a civil parish located within the municipality of Vila do Porto in the Azores, Portugal.
  • C. Lizarra
    Lizarra is the Basque name for the historic town of Estella in the Navarre region of northern Spain.
  • D. Marcilla
    Marcilla is a municipality in northern Spain’s Navarre region, known for its historic castle and location along the Arga River.
  • E. Sorraia
    Sorraia is a river in central Portugal that flows through the Ribatejo region before joining the Tagus River.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Malveira da Serra
Triple: [Parque Natural de Sintra-Cascais, contains, Malveira da Serra]
Generated description
Malveira da Serra is a small village in the Sintra-Cascais region of Portugal, known for its scenic hillside setting near the Atlantic coast and the Serra de Sintra.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Malveira da Serra
Target entity description: Malveira da Serra is a small village in the Sintra-Cascais region of Portugal, known for its scenic hillside setting near the Atlantic coast and the Serra de Sintra.
  • A. Amoreiras
    Amoreiras is a central Lisbon district known for its prominent shopping center, office towers, and distinctive modern architecture.
  • B. Almagreira
    Almagreira is a civil parish located within the municipality of Vila do Porto in the Azores, Portugal.
  • C. Lizarra
    Lizarra is the Basque name for the historic town of Estella in the Navarre region of northern Spain.
  • D. Marcilla
    Marcilla is a municipality in northern Spain’s Navarre region, known for its historic castle and location along the Arga River.
  • E. Sorraia
    Sorraia is a river in central Portugal that flows through the Ribatejo region before joining the Tagus River.
  • F. None of above. chosen

Provenance (5 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.
NED1 Entity disambiguation (via context triple) batch_6a0a8f1fee748190be30339887981f99 completed May 18, 2026, 4:01 a.m.
NEDg Description generation batch_6a0a924f9c0081909e33d6900675495b completed May 18, 2026, 4:15 a.m.
NED2 Entity disambiguation (via description) batch_6a0a92f3ac948190893088711a300610 completed May 18, 2026, 4:17 a.m.
Created at: April 16, 2026, 8:31 p.m.