Triple

T15181515
Position Surface form Disambiguated ID Type / Status
Subject Vésubie E362756 entity
Predicate flowsThrough P225 FINISHED
Object Levens E362742 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: Levens | Statement: [Vésubie, flowsThrough, Levens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Levens
Context triple: [Vésubie, flowsThrough, Levens]
  • A. Levens chosen
    Levens is a small commune in southeastern France situated in the Alpes-Maritimes department of the Provence-Alpes-Côte d'Azur region.
  • B. Levens
    Levens is a village in Cumbria, England, known for its rural setting near the River Kent and the historic Levens Hall estate.
  • C. Lievens
    Lievens is a Dutch surname most notably associated with the 17th-century painter Jan Lievens, a contemporary and occasional collaborator of Rembrandt.
  • D. Leven
    Leven is a coastal town in eastern Scotland, situated on the Firth of Forth in the council area of Fife.
  • E. Unsleben
    Unsleben is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany, known for its rural character and historic village setting.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006663ad48190986b680001be0e9b completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec89210e081909e8077fa2487c40e completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3:09 a.m.