Triple
T6356389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC Lausanne-Sport |
E143001
|
entity |
| Predicate | rival |
P437
|
FINISHED |
| Object |
FC Sion
FC Sion is a Swiss professional football club from Sion, best known for its strong domestic cup tradition and passionate fan base.
|
E590399
|
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: FC Sion | Statement: [FC Lausanne-Sport, rival, FC Sion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FC Sion Context triple: [FC Lausanne-Sport, rival, FC Sion]
-
A.
Servette FC
Servette FC is a historic professional football club from Geneva, Switzerland, known as one of the country’s most successful and traditional teams.
-
B.
FC Stade Nyonnais
FC Stade Nyonnais is a Swiss football club based in the town of Nyon that competes in the national league system.
-
C.
Yverdon-Sport FC
Yverdon-Sport FC is a Swiss professional football club based in Yverdon-les-Bains that competes in the country’s league system.
-
D.
Stade de Suisse
Stade de Suisse is a modern football stadium in Bern, Switzerland, best known as the home ground of Swiss club BSC Young Boys.
-
E.
FC Lausanne-Sport
FC Lausanne-Sport is a Swiss professional football club based in Lausanne that competes in the country’s top leagues and has a long-standing presence in national competitions.
- 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: FC Sion Triple: [FC Lausanne-Sport, rival, FC Sion]
Generated description
FC Sion is a Swiss professional football club from Sion, best known for its strong domestic cup tradition and passionate fan base.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FC Sion Target entity description: FC Sion is a Swiss professional football club from Sion, best known for its strong domestic cup tradition and passionate fan base.
-
A.
Servette FC
Servette FC is a historic professional football club from Geneva, Switzerland, known as one of the country’s most successful and traditional teams.
-
B.
FC Stade Nyonnais
FC Stade Nyonnais is a Swiss football club based in the town of Nyon that competes in the national league system.
-
C.
Yverdon-Sport FC
Yverdon-Sport FC is a Swiss professional football club based in Yverdon-les-Bains that competes in the country’s league system.
-
D.
Stade de Suisse
Stade de Suisse is a modern football stadium in Bern, Switzerland, best known as the home ground of Swiss club BSC Young Boys.
-
E.
FC Lausanne-Sport
FC Lausanne-Sport is a Swiss professional football club based in Lausanne that competes in the country’s top leagues and has a long-standing presence in national competitions.
- 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_69c63869ef148190816b152f2724de49 |
completed | March 27, 2026, 7:57 a.m. |
| NEDg | Description generation | batch_69c63ad7e0a88190aa73b4ac4b131b80 |
completed | March 27, 2026, 8:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c63b467cd881909f9e29357bc98604 |
completed | March 27, 2026, 8:09 a.m. |
Created at: March 22, 2026, 4:32 p.m.