Triple

T11592439
Position Surface form Disambiguated ID Type / Status
Subject Cigales E274914 entity
Predicate locatedNear P294 FINISHED
Object Pisuerga River E75359 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: Pisuerga River | Statement: [Cigales, locatedNear, Pisuerga River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pisuerga River
Context triple: [Cigales, locatedNear, Pisuerga River]
  • A. Pisuerga River chosen
    The Pisuerga River is a major river in northwestern Spain that flows through the city of Valladolid and is an important tributary of the Duero River.
  • B. Río Tiétar
    Río Tiétar is a river in central-western Spain that flows through the provinces of Ávila, Cáceres, and Toledo before joining the Tagus River.
  • C. Río Segovia
    Río Segovia is a river in Central America that forms part of the border between Nicaragua and Honduras and flows into the Caribbean Sea.
  • D. Talavera River
    The Talavera River is a waterway in the Philippines that forms part of the Pampanga River basin in Central Luzon.
  • E. 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.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8946594348190935106132fd18028 completed April 10, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef8269c4f48190aaf238a64c5caf1d completed April 27, 2026, 3:36 p.m.
Created at: April 8, 2026, 9:38 p.m.