Triple

T7010937
Position Surface form Disambiguated ID Type / Status
Subject Norte Region E162577 entity
Predicate containsCity P294 FINISHED
Object Matosinhos
Matosinhos is a coastal city in northern Portugal known for its port, beaches, and seafood cuisine, forming part of the Porto metropolitan area.
 E657030 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: Matosinhos | Statement: [Norte Region, containsCity, Matosinhos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matosinhos
Context triple: [Norte Region, containsCity, Matosinhos]
  • A. Seixas
    Seixas is a surname most notably associated with individuals of Portuguese and Sephardic Jewish heritage.
  • B. Mosteiros
    Mosteiros is a coastal civil parish on the western tip of São Miguel Island in the Azores, known for its volcanic rock formations, natural swimming pools, and scenic Atlantic views.
  • C. Mosteiros
    Mosteiros is a coastal municipality on the island of Fogo in Cape Verde, known for its volcanic landscapes, coffee production, and black-sand beaches.
  • D. Sernancelhe
    Sernancelhe is a municipality in northern Portugal known for its historic granite architecture, religious heritage, and scenic rural landscapes.
  • E. Sabrosa
    Sabrosa is a small municipality in Portugal’s Douro region, historically notable as the birthplace of explorer Ferdinand Magellan.
  • 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: Matosinhos
Triple: [Norte Region, containsCity, Matosinhos]
Generated description
Matosinhos is a coastal city in northern Portugal known for its port, beaches, and seafood cuisine, forming part of the Porto metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Matosinhos
Target entity description: Matosinhos is a coastal city in northern Portugal known for its port, beaches, and seafood cuisine, forming part of the Porto metropolitan area.
  • A. Seixas
    Seixas is a surname most notably associated with individuals of Portuguese and Sephardic Jewish heritage.
  • B. Mosteiros
    Mosteiros is a coastal municipality on the island of Fogo in Cape Verde, known for its volcanic landscapes, coffee production, and black-sand beaches.
  • C. Mosteiros
    Mosteiros is a coastal civil parish on the western tip of São Miguel Island in the Azores, known for its volcanic rock formations, natural swimming pools, and scenic Atlantic views.
  • D. Sernancelhe
    Sernancelhe is a municipality in northern Portugal known for its historic granite architecture, religious heritage, and scenic rural landscapes.
  • E. Sabrosa
    Sabrosa is a small municipality in Portugal’s Douro region, historically notable as the birthplace of explorer Ferdinand Magellan.
  • 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_69c6885a127c8190867b059bdccf13ff completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc3917c481909a288c3e56630c48 completed March 27, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eebe7d008190990482c7d6b512f5 completed March 28, 2026, 3:07 p.m.
NEDg Description generation batch_69c7ef95787c819086684c4286166b43 completed March 28, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69c7f0644ebc8190971075d75e3a76d0 completed March 28, 2026, 3:14 p.m.
Created at: March 27, 2026, 2:34 p.m.