Triple
T13487717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stade de Gerland |
E318548
|
entity |
| Predicate | formerTenant |
P7727
|
FINISHED |
| Object |
Lyon OU
Lyon OU is a French rugby union club based in Lyon that competes in the country’s top professional league.
|
E1043613
|
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: Lyon OU | Statement: [Stade de Gerland, formerTenant, Lyon OU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyon OU Context triple: [Stade de Gerland, formerTenant, Lyon OU]
-
A.
CPE Lyon
CPE Lyon is a French grande école of engineering and chemistry located in the Lyon metropolitan area.
-
B.
Les Lyonnais
Les Lyonnais is a French film in which actress Corinne Marchand delivered one of her most recognized performances.
-
C.
Lyonnet
Lyonnet is a French surname most notably associated with professional dancer Grégoire Lyonnet.
-
D.
MHC Lyons
MHC Lyons is an Irish architectural firm known for its contemporary designs and contributions to modern urban development.
-
E.
Clermont
Clermont is a rural town in Central Queensland, Australia, known historically for gold and coal mining and as a service centre for surrounding agricultural and mining regions.
- 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: Lyon OU Triple: [Stade de Gerland, formerTenant, Lyon OU]
Generated description
Lyon OU is a French rugby union club based in Lyon that competes in the country’s top professional league.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lyon OU Target entity description: Lyon OU is a French rugby union club based in Lyon that competes in the country’s top professional league.
-
A.
CPE Lyon
CPE Lyon is a French grande école of engineering and chemistry located in the Lyon metropolitan area.
-
B.
Les Lyonnais
Les Lyonnais is a French film in which actress Corinne Marchand delivered one of her most recognized performances.
-
C.
Lyonnet
Lyonnet is a French surname most notably associated with professional dancer Grégoire Lyonnet.
-
D.
MHC Lyons
MHC Lyons is an Irish architectural firm known for its contemporary designs and contributions to modern urban development.
-
E.
Clermont
Clermont is a rural town in Central Queensland, Australia, known historically for gold and coal mining and as a service centre for surrounding agricultural and mining regions.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3b9b488190bb4e11424ff599c8 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f74638e2088190a126791f60b541c7 |
completed | May 3, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_69f74cb6cae881909563983a38311db7 |
completed | May 3, 2026, 1:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f74d5389f08190826f0e550c8bb6c2 |
completed | May 3, 2026, 1:27 p.m. |
Created at: April 9, 2026, 9:42 p.m.