Triple

T16830176
Position Surface form Disambiguated ID Type / Status
Subject Canton of Seynod E409126 entity
Predicate namedAfter P63 FINISHED
Object Seynod E1235445 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: Seynod | Statement: [Canton of Seynod, namedAfter, Seynod]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seynod
Context triple: [Canton of Seynod, namedAfter, Seynod]
  • A. Seynod chosen
    Seynod is a former commune in southeastern France, now merged into the city of Annecy in the Haute-Savoie department of the Auvergne-Rhône-Alpes region.
  • B. Penthièvre
    Penthièvre is a historic region in Brittany, France, traditionally associated with a ducal title and noble lineage.
  • C. Gourdon
    Gourdon is a historic hilltop town in southern France known for its medieval architecture and panoramic views over the surrounding countryside.
  • D. Gourdon
    Gourdon is a small coastal fishing village in eastern Scotland known for its historic harbour and North Sea views.
  • E. Finnevaux
    Finnevaux is a small village in the municipality of Houyet in the Wallonia region of Belgium.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b316acc881909c686add53d72388 completed April 18, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfc366bc819084406ee88ddffe44 completed May 10, 2026, 6:34 p.m.
Created at: April 10, 2026, 5:23 a.m.