Triple

T15882939
Position Surface form Disambiguated ID Type / Status
Subject Algarrobo E385118 entity
Predicate partOf P40 FINISHED
Object San Antonio Province E213287 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: San Antonio Province | Statement: [Algarrobo, partOf, San Antonio Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Antonio Province
Context triple: [Algarrobo, partOf, San Antonio Province]
  • A. San Antonio Province chosen
    San Antonio Province is a coastal administrative division in Chile’s Valparaíso Region, known for its major seaport city of San Antonio and its role in maritime trade and fishing.
  • B. San Antonio de Putina Province
    San Antonio de Putina Province is an administrative province located in the high Andean area of southeastern Peru.
  • C. San Luis Province
    San Luis Province is an inland province of central Argentina known for its arid landscapes, sierras, and growing tourism and agricultural sectors.
  • D. Santa Fe Province
    Santa Fe Province is a central-eastern Argentine province known for its fertile agricultural lands, major industrial centers like Rosario, and its key role in the country’s economy and river-based trade.
  • E. San Román Province
    San Román Province is an administrative division in southern Peru known for its capital city Juliaca, a major commercial and transport hub in the Andean highlands.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156173e248190901641d838ecb40f completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbbff15c81909cb148a33b51a16e completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 4:51 a.m.