Triple

T19431348
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Valenciennes E486119 entity
Predicate contains P35 FINISHED
Object Petite-Forêt NE NERFINISHED

How this triple was built (3 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: Petite-Forêt | Statement: [arrondissement of Valenciennes, contains, Petite-Forêt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petite-Forêt
Context triple: [arrondissement of Valenciennes, contains, Petite-Forêt]
  • A. Forêt d’Écouves
    Forêt d’Écouves is a large, historic forest in Normandy, France, known for its extensive woodlands, diverse wildlife, and role as a major natural area within the Orne department.
  • B. Forêt d’Andaine
    Forêt d’Andaine is a large forest in Normandy, France, known for its extensive woodlands, legends of fairies and Arthurian lore, and outdoor recreation such as hiking and cycling.
  • C. Forêt de Paimpont
    Forêt de Paimpont is a forest in Brittany, France, widely associated with the legendary Brocéliande of Arthurian and Merlin folklore.
  • D. Forêt du Der
    Forêt du Der is a large forested area in northeastern France, known for its rich biodiversity and proximity to the Lac du Der-Chantecoq reservoir, a major site for birdwatching and nature tourism.
  • E. Forêt d’Halatte
    Forêt d’Halatte is a large ancient forest in northern France known for its rich biodiversity, archaeological remains, and extensive hiking and riding trails.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Petite-Forêt
Target entity description: Petite-Forêt is a commune in northern France, located in the Nord department within the Hauts-de-France region.
  • A. Forêt d’Écouves
    Forêt d’Écouves is a large, historic forest in Normandy, France, known for its extensive woodlands, diverse wildlife, and role as a major natural area within the Orne department.
  • B. Forêt d’Andaine
    Forêt d’Andaine is a large forest in Normandy, France, known for its extensive woodlands, legends of fairies and Arthurian lore, and outdoor recreation such as hiking and cycling.
  • C. Forêt de Paimpont
    Forêt de Paimpont is a forest in Brittany, France, widely associated with the legendary Brocéliande of Arthurian and Merlin folklore.
  • D. Forêt du Der
    Forêt du Der is a large forested area in northeastern France, known for its rich biodiversity and proximity to the Lac du Der-Chantecoq reservoir, a major site for birdwatching and nature tourism.
  • E. Forêt d’Halatte
    Forêt d’Halatte is a large ancient forest in northern France known for its rich biodiversity, archaeological remains, and extensive hiking and riding trails.
  • F. None of above. chosen

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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6335b4e388190913ded15ad165b7b completed April 20, 2026, 2:08 p.m.
Created at: April 10, 2026, 1:37 p.m.