Triple
T10375741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jura-Nord vaudois |
E244500
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Treycovagnes
Treycovagnes is a small municipality in the canton of Vaud in western Switzerland.
|
E860336
|
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: Treycovagnes | Statement: [Jura-Nord vaudois, contains, Treycovagnes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Treycovagnes Context triple: [Jura-Nord vaudois, contains, Treycovagnes]
-
A.
Tré
Tré is the stage name of Frank Edwin Wright III, the energetic and long-time drummer of the American punk rock band Green Day.
-
B.
Trudaine
Trudaine is a French surname historically associated with an influential family of administrators and intellectuals in 18th-century France.
-
C.
Trenyce
Trenyce is an American singer and actress best known for gaining national recognition as a standout finalist on the second season of American Idol.
-
D.
Carlion
Carlion is a legendary location in Arthurian romance literature, often depicted as one of the principal courts or cities associated with King Arthur and his knights.
-
E.
Treron
Treron is a genus of fruit-eating green pigeons found across parts of Asia and Africa, known for their predominantly green plumage and arboreal habits.
- 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: Treycovagnes Triple: [Jura-Nord vaudois, contains, Treycovagnes]
Generated description
Treycovagnes is a small municipality in the canton of Vaud in western Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Treycovagnes Target entity description: Treycovagnes is a small municipality in the canton of Vaud in western Switzerland.
-
A.
Tré
Tré is the stage name of Frank Edwin Wright III, the energetic and long-time drummer of the American punk rock band Green Day.
-
B.
Trudaine
Trudaine is a French surname historically associated with an influential family of administrators and intellectuals in 18th-century France.
-
C.
Trenyce
Trenyce is an American singer and actress best known for gaining national recognition as a standout finalist on the second season of American Idol.
-
D.
Carlion
Carlion is a legendary location in Arthurian romance literature, often depicted as one of the principal courts or cities associated with King Arthur and his knights.
-
E.
Treron
Treron is a genus of fruit-eating green pigeons found across parts of Asia and Africa, known for their predominantly green plumage and arboreal habits.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e98106d081909d28e30d2fff6902 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d795754570819093747f80e32fffce |
completed | April 9, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69d7bde050ac8190b87a0c81700ad1b1 |
completed | April 9, 2026, 2:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7e60afaf481909a0790c94e323143 |
completed | April 9, 2026, 5:46 p.m. |
Created at: April 6, 2026, 12:02 p.m.