Triple

T15568145
Position Surface form Disambiguated ID Type / Status
Subject Ansião E374168 entity
Predicate hasCivilParish P2739 FINISHED
Object Pousaflores
Pousaflores is a civil parish located in the municipality of Ansião in central Portugal.
 E1165586 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: Pousaflores | Statement: [Ansião, hasCivilParish, Pousaflores]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pousaflores
Context triple: [Ansião, hasCivilParish, Pousaflores]
  • A. Peñuelas
    Peñuelas is a municipality on the southern coast of Puerto Rico known for its industrial facilities and proximity to the city of Ponce.
  • B. Pedreña
    Pedreña is a small coastal village in Cantabria, northern Spain, best known as the hometown of legendary golfer Seve Ballesteros.
  • C. Lospalos
    Lospalos is a town in eastern East Timor that serves as an administrative and commercial center for the surrounding region.
  • D. Breña Baja
    Breña Baja is a coastal municipality on the eastern side of La Palma in Spain’s Canary Islands, known for its tourism, banana plantations, and proximity to the island’s main airport.
  • E. La Peineta
    La Peineta was a former athletics and football stadium in Madrid that served as the precursor to the modern Cívitas Metropolitano, home of Atlético Madrid.
  • 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: Pousaflores
Triple: [Ansião, hasCivilParish, Pousaflores]
Generated description
Pousaflores is a civil parish located in the municipality of Ansião in central Portugal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pousaflores
Target entity description: Pousaflores is a civil parish located in the municipality of Ansião in central Portugal.
  • A. Peñuelas
    Peñuelas is a municipality on the southern coast of Puerto Rico known for its industrial facilities and proximity to the city of Ponce.
  • B. Pedreña
    Pedreña is a small coastal village in Cantabria, northern Spain, best known as the hometown of legendary golfer Seve Ballesteros.
  • C. Lospalos
    Lospalos is a town in eastern East Timor that serves as an administrative and commercial center for the surrounding region.
  • D. Breña Baja
    Breña Baja is a coastal municipality on the eastern side of La Palma in Spain’s Canary Islands, known for its tourism, banana plantations, and proximity to the island’s main airport.
  • E. La Peineta
    La Peineta was a former athletics and football stadium in Madrid that served as the precursor to the modern Cívitas Metropolitano, home of Atlético Madrid.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04dde90b081908284d9258d4462e3 completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4219a081909acca9f783ecd44b completed May 9, 2026, 3:01 p.m.
NEDg Description generation batch_69ff50d54960819089491ccb580784b8 completed May 9, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69ff5208e9a08190b4a6f4157cf3c237 completed May 9, 2026, 3:26 p.m.
Created at: April 10, 2026, 4:10 a.m.