Triple

T4669791
Position Surface form Disambiguated ID Type / Status
Subject São Vicente E102933 entity
Predicate hasSettlement P1068 FINISHED
Object São Pedro
São Pedro is a settlement on the Cape Verdean island of São Vicente, known as a small coastal community near the island’s main city, Mindelo.
 E460736 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: São Pedro | Statement: [São Vicente, hasSettlement, São Pedro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: São Pedro
Context triple: [São Vicente, hasSettlement, São Pedro]
  • A. São Pedro
    São Pedro is a civil parish within the municipality of Angra do Heroísmo on Terceira Island in Portugal’s Azores archipelago.
  • B. São Pedro
    São Pedro is a civil parish within the municipality of Ponta Delgada on São Miguel Island in Portugal’s Azores archipelago.
  • C. Santo Amaro
    Santo Amaro is a central neighborhood in Recife, Brazil, known for its mix of residential areas, commerce, and important urban infrastructure.
  • D. Santo Antônio
    Santo Antônio is a historic central neighborhood of Recife, Brazil, known for its colonial architecture, commercial activity, and cultural landmarks.
  • E. Domingos Martins
    Domingos Martins is a municipality in the Brazilian state of Espírito Santo known for its strong German cultural heritage, reflected in its architecture, festivals, and local traditions.
  • 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: São Pedro
Triple: [São Vicente, hasSettlement, São Pedro]
Generated description
São Pedro is a settlement on the Cape Verdean island of São Vicente, known as a small coastal community near the island’s main city, Mindelo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: São Pedro
Target entity description: São Pedro is a settlement on the Cape Verdean island of São Vicente, known as a small coastal community near the island’s main city, Mindelo.
  • A. São Pedro
    São Pedro is a civil parish within the municipality of Angra do Heroísmo on Terceira Island in Portugal’s Azores archipelago.
  • B. São Pedro
    São Pedro is a civil parish within the municipality of Ponta Delgada on São Miguel Island in Portugal’s Azores archipelago.
  • C. Santo Amaro
    Santo Amaro is a central neighborhood in Recife, Brazil, known for its mix of residential areas, commerce, and important urban infrastructure.
  • D. Santo Antônio
    Santo Antônio is a historic central neighborhood of Recife, Brazil, known for its colonial architecture, commercial activity, and cultural landmarks.
  • E. Domingos Martins
    Domingos Martins is a municipality in the Brazilian state of Espírito Santo known for its strong German cultural heritage, reflected in its architecture, festivals, and local traditions.
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd634ef5608190925663e988e3585b completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be0390c238819089fb54648dfe1e64 completed March 21, 2026, 2:33 a.m.
NEDg Description generation batch_69be0542daf08190b792855c8129ac50 completed March 21, 2026, 2:41 a.m.
NED2 Entity disambiguation (via description) batch_69be05c1dcd48190a08a5748e86a5ac8 completed March 21, 2026, 2:43 a.m.
Created at: March 20, 2026, 1:15 p.m.