Triple
T6343238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musée de l’Élysée |
E142682
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Plateforme 10
Plateforme 10 is a major arts district and museum hub in Lausanne, Switzerland, bringing together several of the city’s leading cultural institutions on a former railway site.
|
E585662
|
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: Plateforme 10 | Statement: [Musée de l’Élysée, partOf, Plateforme 10]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plateforme 10 Context triple: [Musée de l’Élysée, partOf, Plateforme 10]
-
A.
Platform 7
Platform 7 is one of the passenger train platforms at Perth railway station in Perth, Western Australia.
-
B.
Platform 1
Platform 1 is one of the passenger boarding platforms at Castleton railway station in Greater Manchester, England.
-
C.
Platform 1
Platform 1 is one of the passenger boarding platforms at Brentford railway station in London, serving trains on the local rail network.
-
D.
Platform 1
Platform 1 is one of the passenger boarding platforms at Lincoln railway station in Lincoln, England.
-
E.
Platform 1
Platform 1 is one of the passenger train platforms at Leicester railway station, serving services that call at this major rail hub in Leicestershire, England.
- 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: Plateforme 10 Triple: [Musée de l’Élysée, partOf, Plateforme 10]
Generated description
Plateforme 10 is a major arts district and museum hub in Lausanne, Switzerland, bringing together several of the city’s leading cultural institutions on a former railway site.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Plateforme 10 Target entity description: Plateforme 10 is a major arts district and museum hub in Lausanne, Switzerland, bringing together several of the city’s leading cultural institutions on a former railway site.
-
A.
Platform 7
Platform 7 is one of the passenger train platforms at Perth railway station in Perth, Western Australia.
-
B.
Platform 1
Platform 1 is one of the passenger boarding platforms at Castleton railway station in Greater Manchester, England.
-
C.
Platform 1
Platform 1 is one of the passenger train platforms at Leicester railway station, serving services that call at this major rail hub in Leicestershire, England.
-
D.
Platform 1
Platform 1 is one of the passenger boarding platforms at Brentford railway station in London, serving trains on the local rail network.
-
E.
Platform 1
Platform 1 is one of the passenger boarding platforms at Lincoln railway station in Lincoln, England.
- 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_69c008d5ab108190b346c465696824a9 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06745b3d88190bcabc2bf5d75555d |
completed | March 22, 2026, 10:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6044051548190bd35bc17b72fab90 |
completed | March 27, 2026, 4:14 a.m. |
| NEDg | Description generation | batch_69c6053eb344819094490ad663413962 |
completed | March 27, 2026, 4:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c605d48e848190bf11f3862a12d709 |
completed | March 27, 2026, 4:21 a.m. |
Created at: March 22, 2026, 4:31 p.m.