Triple

T4669792
Position Surface form Disambiguated ID Type / Status
Subject São Vicente E102933 entity
Predicate hasSettlement P1068 FINISHED
Object Calhau
Calhau is a small coastal settlement on the Cape Verdean island of São Vicente, known for its quiet beaches and traditional fishing activity.
 E460737 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: Calhau | Statement: [São Vicente, hasSettlement, Calhau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Calhau
Context triple: [São Vicente, hasSettlement, Calhau]
  • A. Haldia
    Haldia is an industrial port city in eastern India known for its petrochemical complexes and role as a major river port on the Hooghly River.
  • B. Vernazobre
    Vernazobre is a river in southern France that serves as a tributary of the Orb.
  • C. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • D. Caleruega
    Caleruega is a small town in the province of Burgos, Spain, best known as the birthplace of Saint Dominic, founder of the Dominican Order.
  • E. Arganil
    Arganil is a municipality and town in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
  • 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: Calhau
Triple: [São Vicente, hasSettlement, Calhau]
Generated description
Calhau is a small coastal settlement on the Cape Verdean island of São Vicente, known for its quiet beaches and traditional fishing activity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Calhau
Target entity description: Calhau is a small coastal settlement on the Cape Verdean island of São Vicente, known for its quiet beaches and traditional fishing activity.
  • A. Haldia
    Haldia is an industrial port city in eastern India known for its petrochemical complexes and role as a major river port on the Hooghly River.
  • B. Vernazobre
    Vernazobre is a river in southern France that serves as a tributary of the Orb.
  • C. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • D. Caleruega
    Caleruega is a small town in the province of Burgos, Spain, best known as the birthplace of Saint Dominic, founder of the Dominican Order.
  • E. Arganil
    Arganil is a municipality and town in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
  • 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.