Triple

T2182940
Position Surface form Disambiguated ID Type / Status
Subject Chêne-Bougeries E49085 entity
Predicate hasNeighbourhood P4813 FINISHED
Object La Gradelle E243258 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: La Gradelle | Statement: [Chêne-Bougeries, hasNeighbourhood, La Gradelle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Gradelle
Context triple: [Chêne-Bougeries, hasNeighbourhood, La Gradelle]
  • A. Gradelle chosen
    Gradelle is a residential neighborhood within the municipality of Chêne-Bougeries in the canton of Geneva, Switzerland.
  • B. La Jeunesse
    La Jeunesse was an influential early 20th-century Chinese magazine that championed vernacular literature, science, and democratic and anti-traditional ideas, helping to spark the New Culture and May Fourth movements.
  • C. Le Reculet
    Le Reculet is one of the highest summits in eastern France, known for its panoramic views over the surrounding Jura range and the Alps.
  • D. La Sablonière
    La Sablonière is one of the small islets within the Les Écréhous reef and island group off the coast of Jersey in the Channel Islands.
  • E. Le Bonheur
    Le Bonheur is a philosophical poetry collection by French poet and Nobel laureate Sully Prudhomme that meditates on the nature and pursuit of human happiness.
  • 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_69a88aa72d348190a9544bb5b8a4e71d completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf0d551881909d7f907378e1b2b7 completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae653de18481909c3521e060540a38 completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:45 p.m.