Triple

T8074002
Position Surface form Disambiguated ID Type / Status
Subject Piedecuesta E188445 entity
Predicate locatedInOrNextToBodyOfWater P1489 FINISHED
Object Río Frío Medio E742772 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: Río Frío Medio | Statement: [Piedecuesta, locatedInOrNextToBodyOfWater, Río Frío Medio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Río Frío Medio
Context triple: [Piedecuesta, locatedInOrNextToBodyOfWater, Río Frío Medio]
  • A. Río Frío chosen
    Río Frío is a river in Colombia associated with the municipality of Piedecuesta in the Santander Department.
  • B. Río Seco
    Río Seco is a coastal river in the municipality of Almuñécar in Spain’s Granada province, flowing through the town before reaching the Mediterranean Sea.
  • C. Río Baluarte
    Río Baluarte is a significant river in northwestern Mexico that flows through the state of Sinaloa toward the Pacific coast, contributing to the region’s agriculture and ecology.
  • D. Lozoya River
    The Lozoya River is a mountain river in central Spain that flows through the Sierra de Guadarrama and supplies water to the Madrid region.
  • E. Río Ayuquila
    Río Ayuquila is a river in the state of Jalisco, Mexico, that flows through the region around Autlán de Navarro and supports local agriculture and ecosystems.
  • 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_69ca82b50c708190863f661d438e68df completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb404a98408190b6c8eecb95ad086d completed March 31, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09b0002948190bb9d47cd0c766003 completed April 4, 2026, 5 a.m.
Created at: March 30, 2026, 5:27 p.m.