Triple

T25203
Position Surface form Disambiguated ID Type / Status
Subject La Serena E503 entity
Predicate locatedIn P40 FINISHED
Object Coquimbo Region E204 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: Coquimbo Region | Statement: [La Serena, locatedIn, Coquimbo Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coquimbo Region
Context triple: [La Serena, locatedIn, Coquimbo Region]
  • A. Coquimbo Region chosen
    Coquimbo Region is a region in northern Chile known for its clear skies, astronomical observatories, and coastal and semi-arid landscapes.
  • B. Elqui Province
    Elqui Province is an administrative division in northern Chile known for its clear skies, astronomical observatories, and the Elqui Valley’s wine and pisco production.
  • C. Elqui Valley
    Elqui Valley is a scenic valley in northern Chile renowned for its clear skies ideal for astronomical observation, pisco production, and picturesque vineyards and villages.
  • D. Central Valley of Chile
    The Central Valley of Chile is a fertile, densely populated agricultural and wine-producing heartland stretching between the Chilean Coastal Range and the Andes.
  • E. northern Chile
    Northern Chile is an arid, sparsely populated macro-region of Chile known for the Atacama Desert, rich mineral resources, and clear skies ideal for astronomical observatories.
  • 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_69a243b4ac2c8190b93c303df797b7b2 completed Feb. 28, 2026, 1:24 a.m.
NER Named-entity recognition batch_69a2466d166881908bd8513c8d09fe8d completed Feb. 28, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69a284f82edc819088df09f6fa561ca2 completed Feb. 28, 2026, 6:02 a.m.
Created at: Feb. 28, 2026, 1:34 a.m.