Triple

T12644171
Position Surface form Disambiguated ID Type / Status
Subject Bernesga River E301976 entity
Predicate hasNameInLanguage P15 FINISHED
Object Río Bernesga (Spanish) E301976 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 Bernesga (Spanish) | Statement: [Bernesga River, hasNameInLanguage, Río Bernesga (Spanish)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Río Bernesga (Spanish)
Context triple: [Bernesga River, hasNameInLanguage, Río Bernesga (Spanish)]
  • A. Esgueva River
    The Esgueva River is a tributary of the Pisuerga River in northwestern Spain that flows through the Province of Valladolid and the Castilian Plateau.
  • B. Jorquera River
    The Jorquera River is an Andean watercourse in northern Chile that serves as one of the principal headwater tributaries of the Copiapó River.
  • C. Bernesga River chosen
    The Bernesga River is a watercourse in northwestern Spain that flows through the city of León before joining the Esla River.
  • D. Gallego River
    The Gallego River is a significant river in northeastern Spain that flows through the Aragon region before joining the Ebro River.
  • E. Río Yeso
    Río Yeso is a mountain river in central Chile known for its turquoise waters, Andean scenery, and role in supplying water to the Maipo basin and Santiago.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9614bf2f881909976becdf747f4fb completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6687961d88190a605f17425ad7547 completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:17 p.m.