Triple

T9108160
Position Surface form Disambiguated ID Type / Status
Subject Duero E218527 entity
Predicate tributary P415 FINISHED
Object Pisuerga 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 | Statement: [Duero, tributary, Pisuerga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pisuerga
Context triple: [Duero, tributary, Pisuerga]
  • 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. Ribera del Duero
    Ribera del Duero is a renowned Spanish wine region famous for its high-quality Tempranillo-based red wines.
  • E. Júcar River
    The Júcar River is a major river in eastern Spain that flows from the Montes Universales through Castilla–La Mancha and the Valencian Community before emptying into the Mediterranean Sea.
  • 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_69ca83db7448819090d0a5de842ef2ac completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca57543448190829853c31e05dd8c completed April 1, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b1877fd48190ad33df32bcd93e13 completed April 4, 2026, 6:36 a.m.
Created at: March 30, 2026, 7:16 p.m.