Triple

T549004
Position Surface form Disambiguated ID Type / Status
Subject Chamonix E12797 entity
Predicate traversedBy P225 FINISHED
Object Arve River E61617 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: Arve River | Statement: [Chamonix, traversedBy, Arve River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arve River
Context triple: [Chamonix, traversedBy, Arve River]
  • A. Arve River chosen
    The Arve River is a glacial river in the Alps that flows through France and Switzerland, notably passing through Geneva before joining the Rhône.
  • B. Ain River
    The Ain River is a significant waterway in eastern France that flows through the Jura and Ain departments before joining the Rhône.
  • C. Vesle River
    The Vesle River is a waterway in northeastern France that flows through the city of Reims and is a tributary of the Aisne River.
  • D. Versoix River
    The Versoix River is a small river in western Switzerland that flows through the canton of Geneva before emptying into Lake Geneva.
  • E. Eno River
    The Eno River is a scenic, historically significant waterway in North Carolina known for its protected natural habitats, recreational trails, and role in the development of the Durham area.
  • 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_69a49334226c81908b0ea1689ef6aa3f completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49900895c819092a131c185a758bf completed March 1, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d6571588190b1f328e7b10b627c completed March 3, 2026, 11:23 p.m.
Created at: March 1, 2026, 7:32 p.m.