Triple

T15606646
Position Surface form Disambiguated ID Type / Status
Subject Figueira da Foz E375175 entity
Predicate hasPart P35 FINISHED
Object Buarcos
Buarcos is a coastal civil parish and former fishing village in central Portugal, known for its long sandy beaches and historic fortifications, that forms part of the municipality of Figueira da Foz.
E1170508 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: Buarcos | Statement: [Figueira da Foz, hasPart, Buarcos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buarcos
Context triple: [Figueira da Foz, hasPart, Buarcos]
  • A. Urqueira
    Urqueira is a small locality or parish within the municipality of Ourém in central Portugal.
  • B. Ortigueira
    Ortigueira is a coastal town and municipality in the province of A Coruña, Galicia, Spain, known for its scenic estuary landscapes and its international folk music festival.
  • C. Valdemaqueda
    Valdemaqueda is a small municipality in the Community of Madrid, Spain, known for its rural landscape and proximity to the Sierra de Guadarrama.
  • D. Sarzedo
    Sarzedo is a small parish (freguesia) in the municipality of Arganil, located in the Coimbra District of central Portugal.
  • E. Beiras
    Beiras is a traditional region in central Portugal known for its diverse landscapes, historic cities, and cultural heritage.
  • 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: Buarcos
Triple: [Figueira da Foz, hasPart, Buarcos]
Generated description
Buarcos is a coastal civil parish and former fishing village in central Portugal, known for its long sandy beaches and historic fortifications, that forms part of the municipality of Figueira da Foz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Buarcos
Target entity description: Buarcos is a coastal civil parish and former fishing village in central Portugal, known for its long sandy beaches and historic fortifications, that forms part of the municipality of Figueira da Foz.
  • A. Urqueira
    Urqueira is a small locality or parish within the municipality of Ourém in central Portugal.
  • B. Ortigueira
    Ortigueira is a coastal town and municipality in the province of A Coruña, Galicia, Spain, known for its scenic estuary landscapes and its international folk music festival.
  • C. Valdemaqueda
    Valdemaqueda is a small municipality in the Community of Madrid, Spain, known for its rural landscape and proximity to the Sierra de Guadarrama.
  • D. Sarzedo
    Sarzedo is a small parish (freguesia) in the municipality of Arganil, located in the Coimbra District of central Portugal.
  • E. Beiras
    Beiras is a traditional region in central Portugal known for its diverse landscapes, historic cities, and cultural heritage.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e7ec08c8190b3842cf3043aea27 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ecba8d08190998fc0688663a328 completed May 9, 2026, 5:28 p.m.
NEDg Description generation batch_69ff6f90388c8190bb7cb415f7ee26b2 completed May 9, 2026, 5:32 p.m.
NED2 Entity disambiguation (via description) batch_69ff701b794c8190b4fe2b0693be4dc3 completed May 9, 2026, 5:34 p.m.
Created at: April 10, 2026, 4:13 a.m.