Triple

T18670740
Position Surface form Disambiguated ID Type / Status
Subject Gilly E456467 entity
Predicate roadAccessTo P22549 FINISHED
Object Rolle 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: Rolle | Statement: [Gilly, roadAccessTo, Rolle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rolle
Context triple: [Gilly, roadAccessTo, Rolle]
  • A. Rolle chosen
    Rolle is a picturesque Swiss town on the shores of Lake Geneva, known for its lakeside promenade, historic castle, and surrounding vineyards.
  • B. Roal
    Roal is a small settlement located in the Hadeland district of southeastern Norway.
  • C. Rollot
    Rollot is a small commune in northern France, notable as the birthplace of the orientalist and translator Antoine Galland.
  • D. Rolen
    Rolen is a surname most notably associated with Scott Rolen, a Hall of Fame Major League Baseball third baseman.
  • E. Romme
    Romme is a French surname most notably associated with Gilbert Romme, a prominent mathematician and revolutionary figure during the French Revolution.
  • 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_69d8d38f72b4819090a935175d9ca8af completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e556b1140c81908002c27a33c03ae2 completed April 19, 2026, 10:26 p.m.
Created at: April 10, 2026, 11:48 a.m.