Triple

T7613984
Position Surface form Disambiguated ID Type / Status
Subject Colchagua Valley E172314 entity
Predicate hasSubregion P285 FINISHED
Object Marchigüe E467233 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: Marchigüe | Statement: [Colchagua Valley, hasSubregion, Marchigüe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marchigüe
Context triple: [Colchagua Valley, hasSubregion, Marchigüe]
  • A. Marchigüe chosen
    Marchigüe is a rural commune and town in central Chile’s O’Higgins Region, known for its agricultural activities and traditional countryside character.
  • B. Tangara
    Tangara is a genus of brightly colored Neotropical tanagers known for their diverse plumage patterns and widespread presence in Central and South American forests.
  • C. Plateros
    Plateros is a major Catholic pilgrimage site in Zacatecas, Mexico, renowned for its sanctuary dedicated to the Santo Niño de Atocha.
  • D. Chaloub
    Chaloub is a surname of likely Arabic origin, used as a transliteration variant of the name Chalhub.
  • E. Pasochoa
    Pasochoa is an extinct volcanic mountain in Ecuador known for its lush cloud forests and rich biodiversity within a protected ecological reserve.
  • 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_69c6994f50808190ba228764bb422417 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa418ef081908fd17ff367520995 completed March 27, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86868dce08190b31229ff2e06fe0c completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:55 p.m.