Triple

T15614875
Position Surface form Disambiguated ID Type / Status
Subject Sierra de Ayllón E375385 entity
Predicate hasRiverSource P947 FINISHED
Object Lozoya River 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: Lozoya River | Statement: [Sierra de Ayllón, hasRiverSource, Lozoya River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lozoya River
Context triple: [Sierra de Ayllón, hasRiverSource, Lozoya River]
  • A. Lozoya River chosen
    The Lozoya River is a mountain river in central Spain that flows through the Sierra de Guadarrama and supplies water to the Madrid region.
  • B. Mijares River
    The Mijares River is a river in eastern Spain that flows through the provinces of Teruel and Castellón before emptying into the Mediterranean Sea.
  • C. Mocorito River
    The Mocorito River is a waterway in the state of Sinaloa, Mexico, that supports local agriculture and communities along its course.
  • D. Tejipió River
    The Tejipió River is an urban waterway in Recife, Brazil, playing a significant role in the city's drainage system and environmental landscape.
  • E. Batopilas River
    The Batopilas River is a mountain river in the Sierra Madre Occidental of Chihuahua, Mexico, known for running through the deep Batopilas Canyon in the Copper Canyon region.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e83407c8190abbcd4b7fab0ff85 completed April 16, 2026, 2:50 a.m.
Created at: April 10, 2026, 4:13 a.m.