Triple
T15019511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jura bernois |
E378045
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Villeret
Villeret is a small Swiss village in the French-speaking Jura bernois region, known for its picturesque valley setting and watchmaking heritage.
|
E1184791
|
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: Villeret | Statement: [Jura bernois, contains, Villeret]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villeret Context triple: [Jura bernois, contains, Villeret]
-
A.
Villeret
Villeret is a small French commune located in the Aube department in the Grand Est region of northeastern France.
-
B.
Villeroux
Villeroux is a small village in the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
-
C.
Villeré
Villeré is a French surname associated with individuals such as Marie Laure Villeré.
-
D.
Verrières
Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
-
E.
Ferrière
Ferrière is a French-language surname of Swiss origin borne by various notable individuals, including social worker and humanitarian Suzanne Ferrière.
- 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: Villeret Triple: [Jura bernois, contains, Villeret]
Generated description
Villeret is a small Swiss village in the French-speaking Jura bernois region, known for its picturesque valley setting and watchmaking heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Villeret Target entity description: Villeret is a small Swiss village in the French-speaking Jura bernois region, known for its picturesque valley setting and watchmaking heritage.
-
A.
Villeret
Villeret is a small French commune located in the Aube department in the Grand Est region of northeastern France.
-
B.
Villeroux
Villeroux is a small village in the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
-
C.
Villeré
Villeré is a French surname associated with individuals such as Marie Laure Villeré.
-
D.
Verrières
Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
-
E.
Ferrière
Ferrière is a French-language surname of Swiss origin borne by various notable individuals, including social worker and humanitarian Suzanne Ferrière.
- 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_69ffb590b5cc8190b5f586e0fd2988f6 |
completed | May 9, 2026, 10:30 p.m. |
| NEDg | Description generation | batch_69ffb792ebe88190a112a86a3b2dc6ea |
completed | May 9, 2026, 10:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb7dfbec08190939cdeaf46ea15ae |
completed | May 9, 2026, 10:40 p.m. |
Created at: April 10, 2026, 2:56 a.m.