Triple

T19247037
Position Surface form Disambiguated ID Type / Status
Subject Comarca of Cuenca del Guadarrama E481285 entity
Predicate namedAfter P63 FINISHED
Object Guadarrama River NE NERFINISHED

How this triple was built (3 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: Guadarrama River | Statement: [Comarca of Cuenca del Guadarrama, namedAfter, Guadarrama River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guadarrama River
Context triple: [Comarca of Cuenca del Guadarrama, namedAfter, Guadarrama River]
  • A. Talavera River
    The Talavera River is a waterway in the Philippines that forms part of the Pampanga River basin in Central Luzon.
  • B. Nalón River
    The Nalón River is the longest and one of the most important rivers in Asturias, northern Spain, flowing from the Cantabrian Mountains to the Bay of Biscay and historically supporting the region’s industry and settlements.
  • C. Tormes River
    The Tormes River is a significant river in western Spain that flows through cities like Salamanca before joining the Douro River.
  • D. Guadalevín River
    The Guadalevín River is a river in southern Spain best known for carving the deep El Tajo gorge that dramatically divides the historic town of Ronda.
  • E. Arazas River
    The Arazas River is a mountain river in the Spanish Pyrenees that flows through the dramatic Ordesa Valley, forming waterfalls and gorges within Ordesa y Monte Perdido National Park.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Guadarrama River
Target entity description: The Guadarrama River is a central Spanish waterway that flows through the Community of Madrid and Castile and León, contributing to the region’s natural landscapes and local ecosystems.
  • A. Talavera River
    The Talavera River is a waterway in the Philippines that forms part of the Pampanga River basin in Central Luzon.
  • B. Nalón River
    The Nalón River is the longest and one of the most important rivers in Asturias, northern Spain, flowing from the Cantabrian Mountains to the Bay of Biscay and historically supporting the region’s industry and settlements.
  • C. Tormes River
    The Tormes River is a significant river in western Spain that flows through cities like Salamanca before joining the Douro River.
  • D. Guadalevín River
    The Guadalevín River is a river in southern Spain best known for carving the deep El Tajo gorge that dramatically divides the historic town of Ronda.
  • E. Arazas River
    The Arazas River is a mountain river in the Spanish Pyrenees that flows through the dramatic Ordesa Valley, forming waterfalls and gorges within Ordesa y Monte Perdido National Park.
  • F. None of above. chosen

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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb2daacc8190b8af99dee51f238d completed April 20, 2026, 10:08 a.m.
Created at: April 10, 2026, 1:27 p.m.