Triple

T21036091
Position Surface form Disambiguated ID Type / Status
Subject Cerro Miñiques E518192 entity
Predicate near P350 FINISHED
Object Socaire 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: Socaire | Statement: [Cerro Miñiques, near, Socaire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Socaire
Context triple: [Cerro Miñiques, near, Socaire]
  • A. Socaire chosen
    Socaire is a traditional Atacameño village in northern Chile, known for its terraced agriculture, adobe architecture, and proximity to the Atacama Desert’s high Andean landscapes.
  • B. Sousel
    Sousel is a municipality in Portugal’s Alentejo region, known for its rural landscape, agricultural activities, and traditional whitewashed architecture.
  • C. Socor
    Socor is a component or segment of the larger work or entity known as "No Long Thing."
  • D. Sassella
    Sassella is a renowned subregion of Italy’s Valtellina wine area, best known for its steep terraced vineyards producing distinctive Nebbiolo-based wines.
  • E. Hoschedé
    Hoschedé is a French surname notably associated with the family closely linked to Impressionist painter Claude Monet.
  • 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_69e0b503275c8190afd9a163f997c709 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc865ca88190abf336ee9012fa77 completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 2:02 p.m.