Triple
T2182948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chêne-Bougeries |
E49085
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Carouge (Sardinia)
Carouge (Sardinia) is a municipality in the Sardinia region of Italy.
|
E243269
|
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: Carouge (Sardinia) | Statement: [Chêne-Bougeries, hasTwinTown, Carouge (Sardinia)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carouge (Sardinia) Context triple: [Chêne-Bougeries, hasTwinTown, Carouge (Sardinia)]
-
A.
Baveno
Baveno is a picturesque lakeside town in northern Italy, known for its scenic views of Lake Maggiore and its historic villas and churches.
-
B.
Menaggio
Menaggio is a picturesque resort town in northern Italy known for its scenic location on the western shore of Lake Como and its historic lakeside promenade.
-
C.
Cologny
Cologny is an affluent municipality on the shores of Lake Geneva in Switzerland, known for its scenic views and as the home of the World Economic Forum’s headquarters.
-
D.
Cluses
Cluses is a small industrial town in southeastern France known for its precision engineering and watchmaking heritage, located in the Arve Valley of the Haute-Savoie department in the Alps.
-
E.
Coppet
Coppet is a Swiss lakeside town on Lake Geneva in the canton of Vaud, known for its historic château and role as a regional transport hub.
- 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: Carouge (Sardinia) Triple: [Chêne-Bougeries, hasTwinTown, Carouge (Sardinia)]
Generated description
Carouge (Sardinia) is a municipality in the Sardinia region of Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carouge (Sardinia) Target entity description: Carouge (Sardinia) is a municipality in the Sardinia region of Italy.
-
A.
Baveno
Baveno is a picturesque lakeside town in northern Italy, known for its scenic views of Lake Maggiore and its historic villas and churches.
-
B.
Menaggio
Menaggio is a picturesque resort town in northern Italy known for its scenic location on the western shore of Lake Como and its historic lakeside promenade.
-
C.
Cologny
Cologny is an affluent municipality on the shores of Lake Geneva in Switzerland, known for its scenic views and as the home of the World Economic Forum’s headquarters.
-
D.
Cluses
Cluses is a small industrial town in southeastern France known for its precision engineering and watchmaking heritage, located in the Arve Valley of the Haute-Savoie department in the Alps.
-
E.
Coppet
Coppet is a Swiss lakeside town on Lake Geneva in the canton of Vaud, known for its historic château and role as a regional transport hub.
- 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_69a88aa72d348190a9544bb5b8a4e71d |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf0d551881909d7f907378e1b2b7 |
completed | March 7, 2026, 6 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5da786e48190896cae8fdcee3d83 |
completed | March 9, 2026, 5:41 a.m. |
| NEDg | Description generation | batch_69ae5e30a69c8190a3f77e784401f671 |
completed | March 9, 2026, 5:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5ea7909c8190a93d87a5d07b84d4 |
completed | March 9, 2026, 5:46 a.m. |
Created at: March 4, 2026, 7:45 p.m.