Triple

T10375575
Position Surface form Disambiguated ID Type / Status
Subject Gorges de l’Areuse E244497 entity
Predicate hasAccessPoint P1985 FINISHED
Object Champ-du-Moulin E254640 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: Champ-du-Moulin | Statement: [Gorges de l’Areuse, hasAccessPoint, Champ-du-Moulin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Champ-du-Moulin
Context triple: [Gorges de l’Areuse, hasAccessPoint, Champ-du-Moulin]
  • A. Champ-du-Moulin chosen
    Champ-du-Moulin is a small hamlet in the Areuse gorge in the canton of Neuchâtel, Switzerland, known for its scenic river landscape and hiking trails.
  • B. Boignée
    Boignée is a village that forms one of the municipal sections of the municipality of Sombreffe in the province of Namur, Wallonia, Belgium.
  • C. Sous-Moulin
    Sous-Moulin is a locality within the municipality of Thônex in the canton of Geneva, Switzerland, known primarily as a residential and community area.
  • D. Carquefou
    Carquefou is a commune in western France, situated near Nantes and known for its residential character and economic activity.
  • E. La Verrière
    La Verrière is a suburban commune in the Yvelines department of north-central France, located within the Paris metropolitan area.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e98106d081909d28e30d2fff6902 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d94af4ee6881909a36ee1a06a9d3e2 completed April 10, 2026, 7:09 p.m.
Created at: April 6, 2026, 12:02 p.m.