Triple

T3288027
Position Surface form Disambiguated ID Type / Status
Subject Montenvers Railway E69032 entity
Predicate hasStation P35 FINISHED
Object Les Planards
Les Planards is a ski and recreation area in Chamonix, France, known for its beginner-friendly slopes and proximity to major alpine attractions.
 E345588 NE FINISHED

How this triple was built (4 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: Les Planards | Statement: [Montenvers Railway, hasStation, Les Planards]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Les Planards
Context triple: [Montenvers Railway, hasStation, Les Planards]
  • A. Juliénas
    Juliénas is a French wine appellation in the northern Beaujolais region, known for its structured, aromatic red wines primarily made from the Gamay grape.
  • B. Les Mureaux
    Les Mureaux is a suburban commune in north-central France known for its aerospace industry and location along the Seine, west of Paris.
  • C. Cigales
    Cigales is a small town in the province of Valladolid, Spain, known historically as a royal residence and for its wine production.
  • D. La Paillade
    La Paillade is the traditional nickname of French football club Montpellier HSC, widely used by supporters and media to refer to the team.
  • E. La Baille
    La Baille is the traditional nickname for the French Naval Academy, the institution responsible for training officers of the French Navy.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Les Planards
Triple: [Montenvers Railway, hasStation, Les Planards]
Generated description
Les Planards is a ski and recreation area in Chamonix, France, known for its beginner-friendly slopes and proximity to major alpine attractions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Les Planards
Target entity description: Les Planards is a ski and recreation area in Chamonix, France, known for its beginner-friendly slopes and proximity to major alpine attractions.
  • A. Juliénas
    Juliénas is a French wine appellation in the northern Beaujolais region, known for its structured, aromatic red wines primarily made from the Gamay grape.
  • B. Les Mureaux
    Les Mureaux is a suburban commune in north-central France known for its aerospace industry and location along the Seine, west of Paris.
  • C. Cigales
    Cigales is a small town in the province of Valladolid, Spain, known historically as a royal residence and for its wine production.
  • D. La Paillade
    La Paillade is the traditional nickname of French football club Montpellier HSC, widely used by supporters and media to refer to the team.
  • E. La Baille
    La Baille is the traditional nickname for the French Naval Academy, the institution responsible for training officers of the French Navy.
  • F. None of above. chosen

Provenance (5 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb058e00881908fdf0a23208860d4 completed March 8, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e85f71508190b194b4d383d7ee32 completed March 12, 2026, 4:22 p.m.
NEDg Description generation batch_69b2e8d165488190bdb6c07257f7502a completed March 12, 2026, 4:24 p.m.
NED2 Entity disambiguation (via description) batch_69b2ecfd3c20819089bc0b2141aee8eb completed March 12, 2026, 4:42 p.m.
Created at: March 8, 2026, 3:10 p.m.