Triple
T15019490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jura bernois |
E378045
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Corgémont
Corgémont is a municipality in the French-speaking Jura Bernois region of the canton of Bern in Switzerland.
|
E1132886
|
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: Corgémont | Statement: [Jura bernois, contains, Corgémont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corgémont Context triple: [Jura bernois, contains, Corgémont]
-
A.
d’Oultremont
d’Oultremont is a noble Belgian family name historically associated with aristocratic lineages in Belgium.
-
B.
Moensberg
Moensberg is a residential neighborhood in the municipality of Uccle in the Brussels-Capital Region of Belgium.
-
C.
Ecaussinnes
Ecaussinnes is a municipality in the province of Hainaut in Wallonia, Belgium, known for its historic castles and annual folklore festivals.
-
D.
Commugny
Commugny is a small Swiss municipality in the canton of Vaud, located near Lake Geneva and close to the city of Geneva.
-
E.
Comines
Comines is a town situated along the Lys River in the historic Flanders region on the border between France and Belgium.
- 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: Corgémont Triple: [Jura bernois, contains, Corgémont]
Generated description
Corgémont is a municipality in the French-speaking Jura Bernois region of the canton of Bern in Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Corgémont Target entity description: Corgémont is a municipality in the French-speaking Jura Bernois region of the canton of Bern in Switzerland.
-
A.
d’Oultremont
d’Oultremont is a noble Belgian family name historically associated with aristocratic lineages in Belgium.
-
B.
Moensberg
Moensberg is a residential neighborhood in the municipality of Uccle in the Brussels-Capital Region of Belgium.
-
C.
Ecaussinnes
Ecaussinnes is a municipality in the province of Hainaut in Wallonia, Belgium, known for its historic castles and annual folklore festivals.
-
D.
Commugny
Commugny is a small Swiss municipality in the canton of Vaud, located near Lake Geneva and close to the city of Geneva.
-
E.
Comines
Comines is a town situated along the Lys River in the historic Flanders region on the border between France and Belgium.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded76445988190984b57de66e00c4a |
completed | April 15, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dd078e481908ec78db57541fc4c |
completed | May 9, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fe9f3afcc08190bd9eac0b2619bf0a |
completed | May 9, 2026, 2:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe9fa89bd481909235d2ec377a0d8e |
completed | May 9, 2026, 2:44 a.m. |
Created at: April 10, 2026, 2:56 a.m.