Triple

T23438163
Position Surface form Disambiguated ID Type / Status
Subject Uccle E565321 entity
Predicate borderedBy P224 FINISHED
Object Rhode-Saint-Genèse 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: Rhode-Saint-Genèse | Statement: [Uccle, borderedBy, Rhode-Saint-Genèse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rhode-Saint-Genèse
Context triple: [Uccle, borderedBy, Rhode-Saint-Genèse]
  • A. Rhode-Saint-Genèse chosen
    Rhode-Saint-Genèse is a wealthy, predominantly residential municipality in the Flemish Brabant province of Belgium, located just south of Brussels.
  • B. Saint-Gence
    Saint-Gence is a small commune in west-central France, located in the Haute-Vienne department within the Nouvelle-Aquitaine region.
  • C. Belmont-sur-Rance
    Belmont-sur-Rance is a small rural commune in the Aveyron department of southern France, known for its historic architecture and scenic setting in the Occitanie region.
  • D. Saignelégier
    Saignelégier is a municipality in the Swiss canton of Jura known for its rural landscapes, watchmaking heritage, and the annual Marché-Concours horse festival.
  • E. Jaunay-Marigny
    Jaunay-Marigny is a commune in western France’s Vienne department, notable for hosting the popular Futuroscope theme park.
  • 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_69e24584f9488190bb32730bd2ce023e completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a5dda7448190b6c686e0db4f4f2f completed April 29, 2026, 6:31 a.m.
Created at: April 17, 2026, 5:50 p.m.