Triple

T16776180
Position Surface form Disambiguated ID Type / Status
Subject Caldas da Rainha E407728 entity
Predicate hasPart P35 FINISHED
Object Alvorninha parish
Alvorninha parish is a civil parish located within the municipality of Caldas da Rainha in Portugal, known for its rural character and traditional Portuguese village life.
E1233445 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: Alvorninha parish | Statement: [Caldas da Rainha, hasPart, Alvorninha parish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alvorninha parish
Context triple: [Caldas da Rainha, hasPart, Alvorninha parish]
  • A. Amieira parish
    Amieira parish is a civil parish in the municipality of Portel, located in Portugal’s Alentejo region.
  • B. Sertã parish
    Sertã parish is a civil parish that serves as the main local administrative unit within the municipality of Sertã in central Portugal.
  • C. Ferreiras parish
    Ferreiras parish is a civil parish in Portugal’s Algarve region, forming part of the municipality of Albufeira.
  • D. São Nicolau parish
    São Nicolau parish is a historic civil parish in the heart of Porto, Portugal, encompassing part of the city’s old town and key landmarks.
  • E. Estrela parish
    Estrela parish is a civil parish in Lisbon, Portugal, known for its historic architecture, central location, and cultural landmarks.
  • 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: Alvorninha parish
Triple: [Caldas da Rainha, hasPart, Alvorninha parish]
Generated description
Alvorninha parish is a civil parish located within the municipality of Caldas da Rainha in Portugal, known for its rural character and traditional Portuguese village life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alvorninha parish
Target entity description: Alvorninha parish is a civil parish located within the municipality of Caldas da Rainha in Portugal, known for its rural character and traditional Portuguese village life.
  • A. Amieira parish
    Amieira parish is a civil parish in the municipality of Portel, located in Portugal’s Alentejo region.
  • B. Sertã parish
    Sertã parish is a civil parish that serves as the main local administrative unit within the municipality of Sertã in central Portugal.
  • C. Ferreiras parish
    Ferreiras parish is a civil parish in Portugal’s Algarve region, forming part of the municipality of Albufeira.
  • D. São Nicolau parish
    São Nicolau parish is a historic civil parish in the heart of Porto, Portugal, encompassing part of the city’s old town and key landmarks.
  • E. Estrela parish
    Estrela parish is a civil parish in Lisbon, Portugal, known for its historic architecture, central location, and cultural landmarks.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b03a646c8190b3944c9f0c25af27 completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00aafe1f8081909b9540aca6e7b9b7 completed May 10, 2026, 3:57 p.m.
NEDg Description generation batch_6a00ac0e10648190803bf962a4677104 completed May 10, 2026, 4:02 p.m.
NED2 Entity disambiguation (via description) batch_6a00acc3a9dc819087e07e539760bf34 completed May 10, 2026, 4:05 p.m.
Created at: April 10, 2026, 5:22 a.m.