Triple
T21268649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lonay-Préverenges railway station |
E524195
|
entity |
| Predicate | servedMunicipality |
P3936
|
FINISHED |
| Object |
Lonay
Lonay is a municipality in the canton of Vaud in western Switzerland, situated on the north shore of Lake Geneva near Lausanne.
|
E1475460
|
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: Lonay | Statement: [Lonay-Préverenges railway station, servedMunicipality, Lonay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lonay Context triple: [Lonay-Préverenges railway station, servedMunicipality, Lonay]
-
A.
Lornay
Lornay is a small French commune located in the Haute-Savoie department in southeastern France.
-
B.
Rannes
Rannes is a small rural locality in the Banana Shire region of Central Queensland, Australia, historically associated with agriculture and rail transport.
-
C.
Aveluy
Aveluy is a small commune in northern France’s Somme department, situated in the historical Picardy region and known for its World War I heritage.
-
D.
Arlay
Arlay is a historic locality in eastern France that served as the principal seat of the noble House of Chalon-Arlay.
-
E.
Loelva
Loelva is a river flowing through Norway’s scenic Loen valley, known for its glacial origins and striking turquoise waters.
- 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: Lonay Triple: [Lonay-Préverenges railway station, servedMunicipality, Lonay]
Generated description
Lonay is a municipality in the canton of Vaud in western Switzerland, situated on the north shore of Lake Geneva near Lausanne.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lonay Target entity description: Lonay is a municipality in the canton of Vaud in western Switzerland, situated on the north shore of Lake Geneva near Lausanne.
-
A.
Lornay
Lornay is a small French commune located in the Haute-Savoie department in southeastern France.
-
B.
Rannes
Rannes is a small rural locality in the Banana Shire region of Central Queensland, Australia, historically associated with agriculture and rail transport.
-
C.
Aveluy
Aveluy is a small commune in northern France’s Somme department, situated in the historical Picardy region and known for its World War I heritage.
-
D.
Arlay
Arlay is a historic locality in eastern France that served as the principal seat of the noble House of Chalon-Arlay.
-
E.
Loelva
Loelva is a river flowing through Norway’s scenic Loen valley, known for its glacial origins and striking turquoise waters.
- 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_69e0b5156d7881909bd4f83676590715 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73651115081908b5083ba818a6bb1 |
completed | April 21, 2026, 8:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09900313748190a2ecc88cfd2b9c78 |
completed | May 17, 2026, 9:53 a.m. |
| NEDg | Description generation | batch_6a0993b803b8819099eb7082303677d7 |
completed | May 17, 2026, 10:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0994235124819098fcf0b30bb0f757 |
completed | May 17, 2026, 10:10 a.m. |
Created at: April 16, 2026, 4 p.m.