Triple

T6772147
Position Surface form Disambiguated ID Type / Status
Subject Barlavento Creoles E155068 entity
Predicate spokenIn P2266 FINISHED
Object São Vicente E102933 NE FINISHED

How this triple was built (2 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 Vicente | Statement: [Barlavento Creoles, spokenIn, São Vicente]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: São Vicente
Context triple: [Barlavento Creoles, spokenIn, São Vicente]
  • A. São Vicente
    São Vicente is a coastal Brazilian city in the state of São Paulo, recognized as one of the country’s oldest European-founded settlements.
  • B. São Vicente chosen
    São Vicente is a prominent island in Cape Verde known for its cultural hub Mindelo, vibrant music scene, and important Atlantic port.
  • C. São Simão
    São Simão is a Brazilian riverside municipality known for its location along the Paranaíba River and its role in regional agriculture and hydroelectric power.
  • D. Santa Cruz do Sul
    Santa Cruz do Sul is a city in southern Brazil known for its strong German-Brazilian cultural heritage, architecture, and traditions.
  • E. Boa Vista
    Boa Vista is a central neighborhood in Recife, Brazil, known for its historic architecture, commercial activity, and cultural significance.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c68812ef7c819099369f51febb725c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d24aaf948190a544cc28b7de67c4 completed March 27, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712c75b9c819099b0be616925a0b9 completed March 27, 2026, 11:29 p.m.
Created at: March 27, 2026, 2:13 p.m.