Triple

T12496540
Position Surface form Disambiguated ID Type / Status
Subject Cidacos River E298700 entity
Predicate flowsThrough P225 FINISHED
Object La Rioja E157561 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: La Rioja | Statement: [Cidacos River, flowsThrough, La Rioja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Rioja
Context triple: [Cidacos River, flowsThrough, La Rioja]
  • A. La Rioja chosen
    La Rioja is an autonomous community and renowned wine-producing region in northern Spain, famous for its vineyards and historic towns along the Ebro River.
  • B. La Rioja Province
    La Rioja Province is an arid, mountainous province in northwestern Argentina known for its Andean landscapes, wine production, and historic colonial towns.
  • C. Marqués del Duero
    Marqués del Duero was a 19th-century Spanish warship that served in the Pacific, notably participating in naval operations during Spain’s overseas conflicts.
  • D. Rioja
    Rioja is a city in northern Peru’s San Martín Region, known as a commercial and agricultural center in the Alto Mayo valley.
  • E. Madrid wine region
    The Madrid wine region is a Spanish Denominación de Origen surrounding the capital, known for its diverse terroirs and production of quality red, white, and rosé wines.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94df948308190ace333230a4a3b38 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64baf73188190af29b57f8ae9253f completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.