Triple

T6112665
Position Surface form Disambiguated ID Type / Status
Subject Rhône river basin E136282 entity
Predicate drainedBy P165 FINISHED
Object Arve E344664 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 | Statement: [Rhône river basin, drainedBy, Arve]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arve
Context triple: [Rhône river basin, drainedBy, Arve]
  • A. Arve chosen
    The Arve is a river in southwestern Switzerland and southeastern France that flows through Geneva before joining the Rhône.
  • B. Atle
    Atle is a masculine given name of Scandinavian origin, commonly used in Norway.
  • C. Arne
    Arne is a Scandinavian masculine given name commonly used in Norway, Sweden, and Denmark.
  • D. Arne
    Arne is a novella by Norwegian writer and Nobel laureate Bjørnstjerne Bjørnson, often regarded as a key work in 19th-century Norwegian literature for its portrayal of rural life and psychological depth.
  • E. Arni
    Arni is a town in Tamil Nadu, India, historically notable as the site of the Battle of Arni during the Second Carnatic War.
  • 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_69c0089ea6f88190b349be53e04b4f5f completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05bbde2048190909aa3a8097bcf93 completed March 22, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c125631e008190921206b9e355202b completed March 23, 2026, 11:34 a.m.
Created at: March 22, 2026, 4:13 p.m.