Triple

T11616533
Position Surface form Disambiguated ID Type / Status
Subject Gardon E275522 entity
Predicate flowsInto P408 FINISHED
Object Rhône near Comps E1922 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: Rhône near Comps | Statement: [Gardon, flowsInto, Rhône near Comps]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rhône near Comps
Context triple: [Gardon, flowsInto, Rhône near Comps]
  • A. Petit-Rhône
    Petit-Rhône is a minor branch of the Rhône River in southern France that flows through the Camargue wetlands before reaching the Mediterranean Sea.
  • B. Morges River
    The Morges River is a small river in western Switzerland that drains into Lake Geneva near the town of Morges.
  • C. 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.
  • D. Vallée de la Dranse
    Vallée de la Dranse is a river valley in the French Alps shaped by the Dranse River, known for its mountainous landscapes and outdoor recreation opportunities.
  • E. river Sarine
    The river Sarine is a major watercourse in western Switzerland that flows through the canton of Fribourg and lends its name to the surrounding Sarine district.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a04675e08190837a3717242fd0f9 completed April 10, 2026, 7:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a84924a0819084c43aeb7c57ac10 completed April 22, 2026, 10:51 a.m.
Created at: April 8, 2026, 9:38 p.m.