Triple

T4670815
Position Surface form Disambiguated ID Type / Status
Subject Franches-Montagnes E102956 entity
Predicate contains P35 FINISHED
Object Les Bois
Les Bois is a small municipality and village in the Franches-Montagnes district of the Swiss canton of Jura, known for its rural setting and watchmaking tradition.
 E460806 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 Bois | Statement: [Franches-Montagnes, contains, Les Bois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Les Bois
Context triple: [Franches-Montagnes, contains, Les Bois]
  • A. La Ville-du-Bois
    La Ville-du-Bois is a commune in the Essonne department in the Île-de-France region of northern France.
  • B. Les Rivières
    Les Rivières is a borough of Quebec City known for its mix of residential neighborhoods, commercial areas, and light industrial zones.
  • C. Lalumière
    Lalumière is a French surname most notably borne by Catherine Lalumière, a prominent French politician and former European Parliament member.
  • D. The Woods
    The Woods is a residential neighborhood within the planned community of Burke Centre in Fairfax County, Virginia.
  • E. Là-bas
    Là-bas is a controversial 1891 novel by French writer Joris-Karl Huysmans that explores Satanism, decadence, and spiritual crisis in fin-de-siècle France.
  • 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 Bois
Triple: [Franches-Montagnes, contains, Les Bois]
Generated description
Les Bois is a small municipality and village in the Franches-Montagnes district of the Swiss canton of Jura, known for its rural setting and watchmaking tradition.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Les Bois
Target entity description: Les Bois is a small municipality and village in the Franches-Montagnes district of the Swiss canton of Jura, known for its rural setting and watchmaking tradition.
  • A. La Ville-du-Bois
    La Ville-du-Bois is a commune in the Essonne department in the Île-de-France region of northern France.
  • B. Les Rivières
    Les Rivières is a borough of Quebec City known for its mix of residential neighborhoods, commercial areas, and light industrial zones.
  • C. Lalumière
    Lalumière is a French surname most notably borne by Catherine Lalumière, a prominent French politician and former European Parliament member.
  • D. The Woods
    The Woods is a residential neighborhood within the planned community of Burke Centre in Fairfax County, Virginia.
  • E. Là-bas
    Là-bas is a controversial 1891 novel by French writer Joris-Karl Huysmans that explores Satanism, decadence, and spiritual crisis in fin-de-siècle France.
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd634ef5608190925663e988e3585b completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be0390c238819089fb54648dfe1e64 completed March 21, 2026, 2:33 a.m.
NEDg Description generation batch_69be0542daf08190b792855c8129ac50 completed March 21, 2026, 2:41 a.m.
NED2 Entity disambiguation (via description) batch_69be05c1dcd48190a08a5748e86a5ac8 completed March 21, 2026, 2:43 a.m.
Created at: March 20, 2026, 1:15 p.m.