Triple
T10375725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jura-Nord vaudois |
E244500
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Ursins
Ursins is a small municipality in the canton of Vaud in western Switzerland, situated in the Jura-Nord vaudois region.
|
E860325
|
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: Ursins | Statement: [Jura-Nord vaudois, contains, Ursins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ursins Context triple: [Jura-Nord vaudois, contains, Ursins]
-
A.
Montenars
Montenars is a small municipality in the Friuli Venezia Giulia region of northeastern Italy.
-
B.
Ursy
Ursy is a municipality in the canton of Fribourg in western Switzerland, situated in the predominantly rural and French-speaking region of Glâne.
-
C.
Orotelli
Orotelli is a small town and comune in the province of Nuoro on the island of Sardinia, Italy, known for its traditional Sardinian culture and rural landscape.
-
D.
Bonomi
Bonomi is an Italian surname most notably associated with Ivanoe Bonomi, a prominent early 20th-century Italian politician and statesman.
-
E.
Bruschi
Bruschi is the surname of Tedy Bruschi, a former NFL linebacker best known for his career with the New England Patriots.
- 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: Ursins Triple: [Jura-Nord vaudois, contains, Ursins]
Generated description
Ursins is a small municipality in the canton of Vaud in western Switzerland, situated in the Jura-Nord vaudois region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ursins Target entity description: Ursins is a small municipality in the canton of Vaud in western Switzerland, situated in the Jura-Nord vaudois region.
-
A.
Montenars
Montenars is a small municipality in the Friuli Venezia Giulia region of northeastern Italy.
-
B.
Ursy
Ursy is a municipality in the canton of Fribourg in western Switzerland, situated in the predominantly rural and French-speaking region of Glâne.
-
C.
Orotelli
Orotelli is a small town and comune in the province of Nuoro on the island of Sardinia, Italy, known for its traditional Sardinian culture and rural landscape.
-
D.
Bonomi
Bonomi is an Italian surname most notably associated with Ivanoe Bonomi, a prominent early 20th-century Italian politician and statesman.
-
E.
Bruschi
Bruschi is the surname of Tedy Bruschi, a former NFL linebacker best known for his career with the New England Patriots.
- 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.