Triple

T16092954
Position Surface form Disambiguated ID Type / Status
Subject Calheta (Maio) E390402 entity
Predicate hasIslandCapital P20917 FINISHED
Object Vila do Maio
Vila do Maio is the main town and administrative center of Maio Island in Cape Verde, known for its coastal setting and role as the island’s primary hub.
E1194974 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: Vila do Maio | Statement: [Calheta (Maio), hasIslandCapital, Vila do Maio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vila do Maio
Context triple: [Calheta (Maio), hasIslandCapital, Vila do Maio]
  • A. Vila Flor
    Vila Flor is a municipality in northern Portugal, situated in the Douro region known for its wine production and scenic landscapes.
  • B. Vila Viçosa
    Vila Viçosa is a historic town in Portugal renowned for its marble quarries and as a former residence of the Portuguese royal family.
  • C. Vila Prudente
    Vila Prudente is a metro station in São Paulo, Brazil, serving as a key terminal and transfer point on the city’s rapid transit network.
  • D. Vila Facaia
    Vila Facaia is a civil parish located in the municipality of Pedrógão Grande in central Portugal.
  • E. Vila Belmiro
    Vila Belmiro is the historic home stadium of Santos FC in Santos, Brazil, renowned as one of the most traditional football grounds in the country.
  • 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: Vila do Maio
Triple: [Calheta (Maio), hasIslandCapital, Vila do Maio]
Generated description
Vila do Maio is the main town and administrative center of Maio Island in Cape Verde, known for its coastal setting and role as the island’s primary hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vila do Maio
Target entity description: Vila do Maio is the main town and administrative center of Maio Island in Cape Verde, known for its coastal setting and role as the island’s primary hub.
  • A. Vila Flor
    Vila Flor is a municipality in northern Portugal, situated in the Douro region known for its wine production and scenic landscapes.
  • B. Vila Viçosa
    Vila Viçosa is a historic town in Portugal renowned for its marble quarries and as a former residence of the Portuguese royal family.
  • C. Vila Prudente
    Vila Prudente is a metro station in São Paulo, Brazil, serving as a key terminal and transfer point on the city’s rapid transit network.
  • D. Vila Facaia
    Vila Facaia is a civil parish located in the municipality of Pedrógão Grande in central Portugal.
  • E. Vila Belmiro
    Vila Belmiro is the historic home stadium of Santos FC in Santos, Brazil, renowned as one of the most traditional football grounds in the country.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1858ed09881909bde122971d95753 completed April 17, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb973c88819091fe284420088e7e completed May 10, 2026, 2:21 a.m.
NEDg Description generation batch_69ffed3d57388190a4d0faa58ee2a27b completed May 10, 2026, 2:28 a.m.
NED2 Entity disambiguation (via description) batch_69ffedfb88a881909e6adbb3a372246b completed May 10, 2026, 2:31 a.m.
Created at: April 10, 2026, 4:59 a.m.