Triple

T21863321
Position Surface form Disambiguated ID Type / Status
Subject Villacarlos E539819 entity
Predicate hasAlternativeName P39 FINISHED
Object Vila Carlos NE NERFINISHED

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: Vila Carlos | Statement: [Villacarlos, hasAlternativeName, Vila Carlos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vila Carlos
Context triple: [Villacarlos, hasAlternativeName, Vila Carlos]
  • A. Vila Facaia
    Vila Facaia is a civil parish located in the municipality of Pedrógão Grande in central Portugal.
  • B. Vila Baleira
    Vila Baleira is the main urban center and administrative hub of Porto Santo Island in Portugal’s Madeira archipelago, known for its proximity to long sandy beaches and historical ties to Christopher Columbus.
  • C. Vila Cã
    Vila Cã is a civil parish located within the municipality of Pombal in central Portugal.
  • D. Villa Carlos chosen
    Villa Carlos is the former historical name of the town now known as Es Castell, located on the island of Menorca in Spain.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47829648190bbe2d1d7033768ec completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0d63d927c8190bcfccc140357484c completed April 28, 2026, 3:46 p.m.
Created at: April 16, 2026, 6:56 p.m.