Triple

T655265
Position Surface form Disambiguated ID Type / Status
Subject Sabrosa E11633 entity
Predicate hasParish P35 FINISHED
Object Torre do Pinhão
Torre do Pinhão is a civil parish in the municipality of Sabrosa, located in Portugal’s Douro wine region.
 E83198 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: Torre do Pinhão | Statement: [Sabrosa, hasParish, Torre do Pinhão]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Torre do Pinhão
Context triple: [Sabrosa, hasParish, Torre do Pinhão]
  • A. Ponta da Piedade
    Ponta da Piedade is a famous coastal rock formation and viewpoint near Lagos in Portugal, known for its dramatic cliffs, sea caves, and turquoise waters.
  • B. Morro de Môco
    Morro de Môco is the tallest mountain in Angola, a prominent peak in the country's central highlands.
  • C. Angra do Heroísmo
    Angra do Heroísmo is a historic coastal city on Terceira Island in the Azores, renowned for its well-preserved Renaissance architecture and UNESCO-listed old town.
  • D. Belém Tower
    Belém Tower is a 16th-century fortified tower in Lisbon, Portugal, and a UNESCO World Heritage Site renowned as a symbol of the Age of Discoveries.
  • E. Sagres
    Sagres is a small coastal town at the southwestern tip of Portugal, known for its dramatic cliffs, surfing beaches, and historic role in the Age of Discoveries.
  • 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: Torre do Pinhão
Triple: [Sabrosa, hasParish, Torre do Pinhão]
Generated description
Torre do Pinhão is a civil parish in the municipality of Sabrosa, located in Portugal’s Douro wine region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Torre do Pinhão
Target entity description: Torre do Pinhão is a civil parish in the municipality of Sabrosa, located in Portugal’s Douro wine region.
  • A. Ponta da Piedade
    Ponta da Piedade is a famous coastal rock formation and viewpoint near Lagos in Portugal, known for its dramatic cliffs, sea caves, and turquoise waters.
  • B. Morro de Môco
    Morro de Môco is the tallest mountain in Angola, a prominent peak in the country's central highlands.
  • C. Angra do Heroísmo
    Angra do Heroísmo is a historic coastal city on Terceira Island in the Azores, renowned for its well-preserved Renaissance architecture and UNESCO-listed old town.
  • D. Belém Tower
    Belém Tower is a 16th-century fortified tower in Lisbon, Portugal, and a UNESCO World Heritage Site renowned as a symbol of the Age of Discoveries.
  • E. Sagres
    Sagres is a small coastal town at the southwestern tip of Portugal, known for its dramatic cliffs, surfing beaches, and historic role in the Age of Discoveries.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f4d57688190a9515ac494a97b22 completed March 1, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c3925a14819093336c4217c7e893 completed March 2, 2026, 5:06 p.m.
NEDg Description generation batch_69a5c423047c8190acab387bd28ffa35 completed March 2, 2026, 5:08 p.m.
NED2 Entity disambiguation (via description) batch_69a5cd1dd7848190a987276500040a4f completed March 2, 2026, 5:47 p.m.
Created at: March 1, 2026, 7:36 p.m.