Triple

T14647687
Position Surface form Disambiguated ID Type / Status
Subject Loue Valley E343895 entity
Predicate hasPart P35 FINISHED
Object Loue River NE NERFINISHED

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: Loue River | Statement: [Loue Valley, hasPart, Loue River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loue River
Context triple: [Loue Valley, hasPart, Loue River]
  • A. Loue River chosen
    The Loue River is a picturesque waterway in eastern France known for its dramatic karst springs, winding course through the Jura mountains, and scenic valleys that attract hikers and nature enthusiasts.
  • B. La Biche River
    La Biche River is a tributary waterway in Alberta, Canada, that feeds into the Athabasca River within the province’s northern boreal region.
  • C. Devrez River
    The Devrez River is a tributary watercourse in north-central Turkey that feeds into the Kızılırmak, the country’s longest river.
  • D. Siagne River
    The Siagne River is a coastal river in southeastern France that flows through the Alpes-Maritimes and Var departments before emptying into the Mediterranean Sea near Mandelieu-la-Napoule.
  • E. Savioeuse River
    The Savioeuse River is a small watercourse in northeastern France that flows through the city of Belfort and forms part of its local hydrological network.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4ebe8048190a2935d00c9cfd8be completed April 14, 2026, 9:43 p.m.
Created at: April 10, 2026, 1:26 a.m.