Triple

T25231
Position Surface form Disambiguated ID Type / Status
Subject La Serena E503 entity
Predicate near P350 FINISHED
Object Coquimbo E8076 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 | Statement: [La Serena, near, Coquimbo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coquimbo
Context triple: [La Serena, near, Coquimbo]
  • A. La Serena
    La Serena is a coastal city in northern Chile known for its colonial architecture, beaches, and role as a gateway to major astronomical observatories in the region.
  • B. Coquimbo Region
    Coquimbo Region is a region in northern Chile known for its clear skies, astronomical observatories, and coastal and semi-arid landscapes.
  • C. 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.
  • D. Santiago
    Santiago is the capital and primary economic, political, and cultural center of Chile, located in the country’s central valley.
  • E. Port of Coquimbo chosen
    The Port of Coquimbo is a key Chilean Pacific seaport that serves as a commercial, fishing, and cruise gateway for the Coquimbo Region.
  • 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_69a27bfc4004819082a8e0a7885865e1 completed Feb. 28, 2026, 5:24 a.m.
Created at: Feb. 28, 2026, 1:34 a.m.