Triple

T21863322
Position Surface form Disambiguated ID Type / Status
Subject Villacarlos E539819 entity
Predicate hasAlternativeName P39 FINISHED
Object Villa 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: Villa Carlos | Statement: [Villacarlos, hasAlternativeName, Villa Carlos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villa Carlos
Context triple: [Villacarlos, hasAlternativeName, Villa Carlos]
  • A. 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.
  • B. Villa González
    Villa González is a municipality and town in the northern Dominican Republic known for its agricultural activity, particularly tobacco cultivation, within Santiago Province.
  • C. Villa El Carmen
    Villa El Carmen is a municipality in western Nicaragua known for its rural communities and agricultural activities within the Managua department.
  • D. Villa El Salvador
    Villa El Salvador is a large, planned working-class district in southern Lima, Peru, known for its history of organized community development and social housing.
  • E. Villa Alegre
    Villa Alegre is a small rural municipality in Chile’s Maule Region, known for its agricultural activity and traditional central valley landscapes.
  • 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.