Triple
T6356369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC Lausanne-Sport |
E143001
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Montriond Lausanne
Montriond Lausanne was the former name of the Swiss football club now known as FC Lausanne-Sport.
|
E595803
|
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: Montriond Lausanne | Statement: [FC Lausanne-Sport, formerName, Montriond Lausanne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montriond Lausanne Context triple: [FC Lausanne-Sport, formerName, Montriond Lausanne]
-
A.
Bardonnex
Bardonnex is a small Swiss municipality located in the canton of Geneva, near the country’s border with France.
-
B.
Delémont
Delémont is a historic town in northwestern Switzerland that serves as the capital of the canton of Jura.
-
C.
Prévessin-Moëns
Prévessin-Moëns is a French commune in the Ain department of eastern France, located near Geneva and known for its proximity to the CERN research center.
-
D.
Morges
Morges is a Swiss town on the shores of Lake Geneva that historically hosted the founding of the World Wildlife Fund and serves as a local cultural and economic center in the canton of Vaud.
-
E.
Aubonne
Aubonne is a river in western Switzerland that flows through the canton of Vaud before emptying into Lake Geneva.
- 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: Montriond Lausanne Triple: [FC Lausanne-Sport, formerName, Montriond Lausanne]
Generated description
Montriond Lausanne was the former name of the Swiss football club now known as FC Lausanne-Sport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Montriond Lausanne Target entity description: Montriond Lausanne was the former name of the Swiss football club now known as FC Lausanne-Sport.
-
A.
Bardonnex
Bardonnex is a small Swiss municipality located in the canton of Geneva, near the country’s border with France.
-
B.
Delémont
Delémont is a historic town in northwestern Switzerland that serves as the capital of the canton of Jura.
-
C.
Prévessin-Moëns
Prévessin-Moëns is a French commune in the Ain department of eastern France, located near Geneva and known for its proximity to the CERN research center.
-
D.
Morges
Morges is a Swiss town on the shores of Lake Geneva that historically hosted the founding of the World Wildlife Fund and serves as a local cultural and economic center in the canton of Vaud.
-
E.
Aubonne
Aubonne is a river in western Switzerland that flows through the canton of Vaud before emptying into Lake Geneva.
- 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_69c008d7a9c4819098d647ec47776917 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067f37d0881909289bafb09e29298 |
completed | March 22, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c65381ab8081908293225471062f28 |
completed | March 27, 2026, 9:53 a.m. |
| NEDg | Description generation | batch_69c6542f23548190a0905c0e2c7341f6 |
completed | March 27, 2026, 9:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c654918d9881909f3886ec52a7b00b |
completed | March 27, 2026, 9:57 a.m. |
Created at: March 22, 2026, 4:32 p.m.