Triple

T22971753
Position Surface form Disambiguated ID Type / Status
Subject Vila do Conde E571204 entity
Predicate hasParish P35 FINISHED
Object Touguinhó
Touguinhó is a small civil parish located in the municipality of Vila do Conde in northern Portugal.
 E1563236 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: Touguinhó | Statement: [Vila do Conde, hasParish, Touguinhó]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Touguinhó
Context triple: [Vila do Conde, hasParish, Touguinhó]
  • A. Touguinha
    Touguinha is a civil parish in northern Portugal, located within the municipality of Vila do Conde in the Porto District.
  • B. Tanguá
    Tanguá is a small municipality in the state of Rio de Janeiro, Brazil, known for its rural character and integration into the greater Rio de Janeiro metropolitan area.
  • C. Paranhos
    Paranhos is a civil parish in the city of Porto, Portugal, known for its residential areas and several university and hospital facilities.
  • D. Putijarra
    Putijarra is an Australian Aboriginal language traditionally spoken by the Martu people of the Western Desert region.
  • E. Jubiabá
    Jubiabá is a novel by Brazilian writer Jorge Amado that portrays Afro-Brazilian culture, social injustice, and popular resistance in Salvador, Bahia.
  • 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: Touguinhó
Triple: [Vila do Conde, hasParish, Touguinhó]
Generated description
Touguinhó is a small civil parish located in the municipality of Vila do Conde in northern Portugal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Touguinhó
Target entity description: Touguinhó is a small civil parish located in the municipality of Vila do Conde in northern Portugal.
  • A. Touguinha chosen
    Touguinha is a civil parish in northern Portugal, located within the municipality of Vila do Conde in the Porto District.
  • B. Tanguá
    Tanguá is a small municipality in the state of Rio de Janeiro, Brazil, known for its rural character and integration into the greater Rio de Janeiro metropolitan area.
  • C. Paranhos
    Paranhos is a civil parish in the city of Porto, Portugal, known for its residential areas and several university and hospital facilities.
  • D. Putijarra
    Putijarra is an Australian Aboriginal language traditionally spoken by the Martu people of the Western Desert region.
  • E. Jubiabá
    Jubiabá is a novel by Brazilian writer Jorge Amado that portrays Afro-Brazilian culture, social injustice, and popular resistance in Salvador, Bahia.
  • F. None of above.

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_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1823370fc819084a13d6e4eb6e44e completed April 29, 2026, 3:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bd36dc8d08190aa691002025a19c4 completed May 19, 2026, 3:05 a.m.
NEDg Description generation batch_6a0bdc7182cc8190909ca3de14162767 completed May 19, 2026, 3:43 a.m.
NED2 Entity disambiguation (via description) batch_6a0bdd06e8e88190bbd43d0c877a74ff completed May 19, 2026, 3:46 a.m.
Created at: April 17, 2026, 3:48 p.m.