Triple

T18151421
Position Surface form Disambiguated ID Type / Status
Subject Stade de la Beaujoire E434511 entity
Predicate cityDistrict P2709 FINISHED
Object Beaujoire
Beaujoire is a district of Nantes, France, best known for hosting the Stade de la Beaujoire football stadium and its surrounding sports and event facilities.
E1309724 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: Beaujoire | Statement: [Stade de la Beaujoire, cityDistrict, Beaujoire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beaujoire
Context triple: [Stade de la Beaujoire, cityDistrict, Beaujoire]
  • A. Beauseant
    Beauseant is a scheming aristocrat and one of the principal antagonists in Edward Bulwer-Lytton’s romantic drama "The Lady of Lyons."
  • B. Beaulieu
    Beaulieu is a settlement located within Saint George Parish on the Caribbean island nation of Grenada.
  • C. La Neuve-Lyre
    La Neuve-Lyre is a small commune in northern France, located in the Eure department of the Normandy region.
  • D. Beaurepaire
    Beaurepaire is a locality within the Le Havre metropolitan area in northern France, integrated into its broader urban and residential landscape.
  • 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. 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: Beaujoire
Triple: [Stade de la Beaujoire, cityDistrict, Beaujoire]
Generated description
Beaujoire is a district of Nantes, France, best known for hosting the Stade de la Beaujoire football stadium and its surrounding sports and event facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Beaujoire
Target entity description: Beaujoire is a district of Nantes, France, best known for hosting the Stade de la Beaujoire football stadium and its surrounding sports and event facilities.
  • A. Beauseant
    Beauseant is a scheming aristocrat and one of the principal antagonists in Edward Bulwer-Lytton’s romantic drama "The Lady of Lyons."
  • B. Beaulieu
    Beaulieu is a settlement located within Saint George Parish on the Caribbean island nation of Grenada.
  • C. La Neuve-Lyre
    La Neuve-Lyre is a small commune in northern France, located in the Eure department of the Normandy region.
  • D. Beaurepaire
    Beaurepaire is a locality within the Le Havre metropolitan area in northern France, integrated into its broader urban and residential landscape.
  • 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. 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de38d4e08190bc4d430b70b7e288 completed April 19, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a038fb93f8481908ea190ce4ec54455 completed May 12, 2026, 8:38 p.m.
NEDg Description generation batch_6a03911462d0819080d6a59fe3b120a1 completed May 12, 2026, 8:44 p.m.
NED2 Entity disambiguation (via description) batch_6a0392a51df48190aab14218f28f129d completed May 12, 2026, 8:50 p.m.
Created at: April 10, 2026, 10:29 a.m.