Triple

T17701798
Position Surface form Disambiguated ID Type / Status
Subject Campus Viña del Mar E441323 entity
Predicate city P40 FINISHED
Object Viña del Mar 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 | Statement: [Campus Viña del Mar, city, Viña del Mar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viña del Mar
Context triple: [Campus Viña del Mar, city, Viña del Mar]
  • 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. Valparaíso
    Valparaíso is a rural municipality located in the Caquetá Department of southern Colombia, known for its Amazonian landscapes and agricultural economy.
  • C. Valparaíso
    Valparaíso is a major Pacific port city in central Chile, renowned for its steep hillsides, colorful houses, historic funiculars, and UNESCO-listed historic quarter.
  • D. 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.
  • E. Santiago (Chile)
    Santiago (Chile) is the capital and largest city of Chile, serving as the country’s political, cultural, and economic center in the 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4715c3980819094b080a871df1100 completed April 19, 2026, 6:08 a.m.
Created at: April 10, 2026, 10:04 a.m.