Triple

T13426296
Position Surface form Disambiguated ID Type / Status
Subject Rally Argentina E313489 entity
Predicate typicalRallyBase P49862 FINISHED
Object Villa Carlos Paz E298197 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: Villa Carlos Paz | Statement: [Rally Argentina, typicalRallyBase, Villa Carlos Paz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villa Carlos Paz
Context triple: [Rally Argentina, typicalRallyBase, Villa Carlos Paz]
  • A. Villa Carlos Paz chosen
    Villa Carlos Paz is a popular tourist city in central Argentina, known for its scenic lakeside setting in the Sierras de Córdoba and vibrant leisure and entertainment offerings.
  • B. Villa María
    Villa María is a mid-sized Argentine city in the province of Córdoba, known as an important regional center for dairy production, education, and transportation.
  • C. Villa La Unión
    Villa La Unión is a town in central Ecuador that serves as the administrative center of Colta Canton in Chimborazo Province.
  • D. Villa Carlos
    Villa Carlos is the former historical name of the town now known as Es Castell, located on the island of Menorca in Spain.
  • E. Villa Mercedes
    Villa Mercedes is a major urban and industrial center in central Argentina, located in the province of San Luis.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaed1f9208190bf5ef5b8a7ded376 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7398984f48190adaa1963d261d538 completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:40 p.m.