Triple

T12644163
Position Surface form Disambiguated ID Type / Status
Subject Bernesga River E301976 entity
Predicate mouthOf P1008 FINISHED
Object Esla River E872828 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: Esla River | Statement: [Bernesga River, mouthOf, Esla River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Esla River
Context triple: [Bernesga River, mouthOf, Esla River]
  • A. Esla River chosen
    The Esla River is a major river in northwestern Spain that flows through the provinces of León and Zamora before joining the Douro River.
  • B. Ofanto River
    The Ofanto River is a major river in southern Italy that flows through the regions of Campania, Basilicata, and Apulia before emptying into the Adriatic Sea.
  • C. Losada River
    The Losada River is a waterway in Colombia that flows through the biodiverse Sierra de la Macarena region, contributing to its rich ecosystems and unique landscapes.
  • D. Gete River
    The Gete River is a small river in central Belgium that flows through the town of Tienen and ultimately feeds into the Demer River.
  • E. Quevedo River
    The Quevedo River is a significant waterway in western Ecuador that flows through agricultural lowlands and supports the economy and ecosystems of Los Ríos Province.
  • 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_69ff453c189c8190ac73204b7ac68dda completed May 9, 2026, 2:31 p.m.
Created at: April 9, 2026, 5:17 p.m.