Triple
T15019477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jura bernois |
E378045
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object |
Courtelary
Courtelary is a small municipality in the canton of Bern, Switzerland, known for its role as an administrative center in the Jura Bernois region.
|
E1176114
|
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: Courtelary | Statement: [Jura bernois, hasCapital, Courtelary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Courtelary Context triple: [Jura bernois, hasCapital, Courtelary]
-
A.
Céligny
Céligny is a small, affluent Swiss village on the shores of Lake Geneva, known for its picturesque setting and as the burial place of actor Richard Burton.
-
B.
Hermance
Hermance is a small lakeside municipality on the shores of Lake Geneva in southwestern Switzerland.
-
C.
Chêne-Bougeries
Chêne-Bougeries is a suburban municipality in western Switzerland, located just east of the city of Geneva in the canton of Geneva.
-
D.
Delémont
Delémont is a historic town in northwestern Switzerland that serves as the capital of the canton of Jura.
-
E.
Aubonne
Aubonne is a small municipality in the canton of Vaud in western Switzerland, known for its picturesque setting amid vineyards above Lake Geneva.
- 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: Courtelary Triple: [Jura bernois, hasCapital, Courtelary]
Generated description
Courtelary is a small municipality in the canton of Bern, Switzerland, known for its role as an administrative center in the Jura Bernois region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Courtelary Target entity description: Courtelary is a small municipality in the canton of Bern, Switzerland, known for its role as an administrative center in the Jura Bernois region.
-
A.
Céligny
Céligny is a small, affluent Swiss village on the shores of Lake Geneva, known for its picturesque setting and as the burial place of actor Richard Burton.
-
B.
Hermance
Hermance is a small lakeside municipality on the shores of Lake Geneva in southwestern Switzerland.
-
C.
Chêne-Bougeries
Chêne-Bougeries is a suburban municipality in western Switzerland, located just east of the city of Geneva in the canton of Geneva.
-
D.
Delémont
Delémont is a historic town in northwestern Switzerland that serves as the capital of the canton of Jura.
-
E.
Aubonne
Aubonne is a small municipality in the canton of Vaud in western Switzerland, known for its picturesque setting amid vineyards above Lake Geneva.
- 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_69ff908410548190ada5d4f71d52919b |
completed | May 9, 2026, 7:52 p.m. |
| NEDg | Description generation | batch_69ff9118272c8190a7b33fb312f37d39 |
completed | May 9, 2026, 7:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff9176f8208190ad88791592b35b72 |
completed | May 9, 2026, 7:56 p.m. |
Created at: April 10, 2026, 2:56 a.m.