Triple

T22600611
Position Surface form Disambiguated ID Type / Status
Subject Münster-Geschinen E574805 entity
Predicate locatedOn P40 FINISHED
Object Rhone 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: Rhone River | Statement: [Münster-Geschinen, locatedOn, Rhone River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rhone River
Context triple: [Münster-Geschinen, locatedOn, Rhone River]
  • A. Rhône River chosen
    The Rhône River is a major European waterway that flows from the Swiss Alps through Lake Geneva into southeastern France, ultimately emptying into the Mediterranean Sea.
  • B. Rhône
    Rhône is a department in eastern France named after the Rhône River, known for its capital city Lyon and its significant role in the country's economic and cultural life.
  • C. Ardèche River
    The Ardèche River is a scenic waterway in south-central France renowned for its dramatic limestone gorges, natural stone arch (Pont d’Arc), and popular canoeing and kayaking routes.
  • D. Saône River
    The Saône River is a major waterway in eastern France that flows through cities like Lyon and Dijon before joining the Rhône River.
  • E. Rive Droite
    Rive Droite is the northern, historically affluent bank of the Seine in Paris, known for its grand boulevards, major museums, and iconic landmarks.
  • 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_69e245bc11308190b69d794d5d1e0bb6 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1626c6ce08190b991e89b12c67a5a completed April 29, 2026, 1:44 a.m.
Created at: April 17, 2026, 2:50 p.m.