Triple

T22410419
Position Surface form Disambiguated ID Type / Status
Subject Tom Araya E553980 entity
Predicate placeOfBirth P1 FINISHED
Object Viña del Mar, Chile 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: Viña del Mar, Chile | Statement: [Tom Araya, placeOfBirth, Viña del Mar, Chile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viña del Mar, Chile
Context triple: [Tom Araya, placeOfBirth, Viña del Mar, Chile]
  • A. Viña del Mar chosen
    Viña del Mar is a major Chilean resort city famed for its beaches, gardens, and annual international song festival.
  • B. Concepción, Chile
    Concepción, Chile is a major industrial and university city in south-central Chile, known as a key economic, cultural, and transportation hub of the Biobío Region.
  • C. Las Campanas, Chile
    Las Campanas, Chile is a high-altitude astronomical observatory site in the Chilean Andes renowned for its exceptionally clear, dark skies used by major research telescopes.
  • D. San Fernando, Chile
    San Fernando is a city in central Chile’s O’Higgins Region, known as an agricultural hub in the Colchagua Valley and a gateway to nearby Andean landscapes and vineyards.
  • E. Linares, Chile
    Linares, Chile is a city in Chile’s Maule Region known as an agricultural and commercial center in the fertile Central Valley.
  • 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_69e11e4e6ce8819085a1e06d886bf21c completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15942edb081909869ae013ea72f09 completed April 29, 2026, 1:05 a.m.
Created at: April 16, 2026, 8:46 p.m.