Triple

T13414427
Position Surface form Disambiguated ID Type / Status
Subject Lanaudière E313172 entity
Predicate hasRegionalCountyMunicipality P55805 FINISHED
Object D’Autray
D’Autray is a regional county municipality located in the Lanaudière region of Quebec, Canada.
E1039332 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: D’Autray | Statement: [Lanaudière, hasRegionalCountyMunicipality, D’Autray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: D’Autray
Context triple: [Lanaudière, hasRegionalCountyMunicipality, D’Autray]
  • A. Fayard
    Fayard is a prominent French publishing house known for its literary works, essays, and non-fiction titles.
  • B. Garrel
    Garrel is a rural municipality in Lower Saxony, Germany, known for its agriculture and location within the Cloppenburg district.
  • C. Claude Devorsine
    Claude Devorsine is a French architect best known for designing the Tour Bretagne skyscraper in Nantes.
  • D. Don LaRue
    Don LaRue is an individual notable enough to be recognized as a prominent bearer of the surname LaRue.
  • E. Oudry
    Oudry is the surname of Jean-Baptiste Oudry, an 18th-century French painter and engraver renowned for his animal and hunting scenes.
  • 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: D’Autray
Triple: [Lanaudière, hasRegionalCountyMunicipality, D’Autray]
Generated description
D’Autray is a regional county municipality located in the Lanaudière region of Quebec, Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: D’Autray
Target entity description: D’Autray is a regional county municipality located in the Lanaudière region of Quebec, Canada.
  • A. Fayard
    Fayard is a prominent French publishing house known for its literary works, essays, and non-fiction titles.
  • B. Garrel
    Garrel is a rural municipality in Lower Saxony, Germany, known for its agriculture and location within the Cloppenburg district.
  • C. Claude Devorsine
    Claude Devorsine is a French architect best known for designing the Tour Bretagne skyscraper in Nantes.
  • D. Don LaRue
    Don LaRue is an individual notable enough to be recognized as a prominent bearer of the surname LaRue.
  • E. Oudry
    Oudry is the surname of Jean-Baptiste Oudry, an 18th-century French painter and engraver renowned for his animal and hunting scenes.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb556948190af008c88e5bbf051 completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7308095548190afb659b84f2775f2 completed May 3, 2026, 11:24 a.m.
NEDg Description generation batch_69f73242a368819080ceda37583c0d7c completed May 3, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_69f732b3ba748190b2a430300e798ed8 completed May 3, 2026, 11:34 a.m.
Created at: April 9, 2026, 9:39 p.m.