Triple
T3953389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monthey |
E84919
|
entity |
| Predicate | hasSportsTeam |
P330
|
FINISHED |
| Object |
BBC Monthey
BBC Monthey is a professional basketball club based in the town of Monthey in Switzerland.
|
E401908
|
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: BBC Monthey | Statement: [Monthey, hasSportsTeam, BBC Monthey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BBC Monthey Context triple: [Monthey, hasSportsTeam, BBC Monthey]
-
A.
Bossey
Bossey is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region, located near the Swiss border south of Geneva.
-
B.
Lancy
Lancy is a suburban municipality in western Switzerland that forms part of the urban area of Geneva.
-
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.
Chexbres
Chexbres is a picturesque Swiss village in the canton of Vaud, renowned for its terraced vineyards overlooking Lake Geneva and its location within the UNESCO-listed Lavaux wine-growing region.
- 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: BBC Monthey Triple: [Monthey, hasSportsTeam, BBC Monthey]
Generated description
BBC Monthey is a professional basketball club based in the town of Monthey in Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BBC Monthey Target entity description: BBC Monthey is a professional basketball club based in the town of Monthey in Switzerland.
-
A.
Bossey
Bossey is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region, located near the Swiss border south of Geneva.
-
B.
Lancy
Lancy is a suburban municipality in western Switzerland that forms part of the urban area of Geneva.
-
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.
Chexbres
Chexbres is a picturesque Swiss village in the canton of Vaud, renowned for its terraced vineyards overlooking Lake Geneva and its location within the UNESCO-listed Lavaux wine-growing region.
- 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_69aed934fbfc8190847068e4546de963 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef93b8f5c8190bdb062a76b68b3e0 |
completed | March 9, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b533ab58c08190ad83bf02571caaf2 |
completed | March 14, 2026, 10:08 a.m. |
| NEDg | Description generation | batch_69b5345b408c8190a68c530edd1efb1f |
completed | March 14, 2026, 10:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5351fe4d081909c606f2ced0efbdc |
completed | March 14, 2026, 10:14 a.m. |
Created at: March 9, 2026, 3:30 p.m.