Triple

T21165656
Position Surface form Disambiguated ID Type / Status
Subject Lurín River E521553 entity
Predicate flowsThrough P225 FINISHED
Object Lurín Valley 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: Lurín Valley | Statement: [Lurín River, flowsThrough, Lurín Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lurín Valley
Context triple: [Lurín River, flowsThrough, Lurín Valley]
  • A. Lurín River valley chosen
    The Lurín River valley is a fertile coastal valley in central Peru known for its agriculture, pre-Columbian archaeological sites, and proximity to Lima.
  • B. Malleco Valley
    Malleco Valley is an agricultural and wine-producing region in southern Chile shaped by the course of the Malleco River.
  • C. Cachapoal Valley
    Cachapoal Valley is a prominent Chilean wine-producing region known for its warm climate and high-quality red wines, particularly Cabernet Sauvignon and Carmenère.
  • D. Pisco River valley
    The Pisco River valley is a fertile coastal valley in central Peru known for its agriculture, vineyards, and proximity to the Pacific Ocean.
  • E. Tinguiririca Valley
    Tinguiririca Valley is a Chilean wine-producing region in the O'Higgins Region, known for its high-quality red wines influenced by Andean and riverine climates.
  • 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_69e0b50e30748190b186824a206d39b9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7270efe3081908a50fc601c2f958c completed April 21, 2026, 7:28 a.m.
Created at: April 16, 2026, 2:59 p.m.