Triple

T22971745
Position Surface form Disambiguated ID Type / Status
Subject Vila do Conde E571204 entity
Predicate hasParish P35 FINISHED
Object Azurara
Azurara is a civil parish in the municipality of Vila do Conde in northern Portugal, known for its historic architecture and proximity to the Ave River estuary.
 E1563231 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: Azurara | Statement: [Vila do Conde, hasParish, Azurara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Azurara
Context triple: [Vila do Conde, hasParish, Azurara]
  • A. Azuara
    Azuara is a small municipality in the province of Zaragoza, Aragon, Spain, known for its rural character and historical heritage.
  • B. Azaire
    Azaire is a French surname notably associated with the character Isabelle Azaire from Sebastian Faulks’s novel "Birdsong."
  • C. Azara
    Azara is a suburban locality on the outskirts of Guwahati in Assam, India, known for hosting the city's main international airport and related transport infrastructure.
  • D. Aurai
    Aurai are minor wind nymphs in Greek mythology associated with breezes and the lower atmosphere.
  • E. Arzla
    Arzla is a small locality or subdivision within the municipality of Inning am Ammersee in Bavaria, Germany.
  • 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: Azurara
Triple: [Vila do Conde, hasParish, Azurara]
Generated description
Azurara is a civil parish in the municipality of Vila do Conde in northern Portugal, known for its historic architecture and proximity to the Ave River estuary.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Azurara
Target entity description: Azurara is a civil parish in the municipality of Vila do Conde in northern Portugal, known for its historic architecture and proximity to the Ave River estuary.
  • A. Azuara
    Azuara is a small municipality in the province of Zaragoza, Aragon, Spain, known for its rural character and historical heritage.
  • B. Azaire
    Azaire is a French surname notably associated with the character Isabelle Azaire from Sebastian Faulks’s novel "Birdsong."
  • C. Azara
    Azara is a suburban locality on the outskirts of Guwahati in Assam, India, known for hosting the city's main international airport and related transport infrastructure.
  • D. Aurai
    Aurai are minor wind nymphs in Greek mythology associated with breezes and the lower atmosphere.
  • E. Arzla
    Arzla is a small locality or subdivision within the municipality of Inning am Ammersee in Bavaria, Germany.
  • 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_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_6a0bca28333c8190b517c2f4755e2e38 completed May 19, 2026, 2:25 a.m.
NEDg Description generation batch_6a0bcacba35881909ee124b27afc9df4 completed May 19, 2026, 2:28 a.m.
NED2 Entity disambiguation (via description) batch_6a0bcba855d4819081d61e217b3747b0 completed May 19, 2026, 2:32 a.m.
Created at: April 17, 2026, 3:48 p.m.