Triple
T10375718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jura-Nord vaudois |
E244500
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Montcherand
Montcherand is a small Swiss municipality in the canton of Vaud, situated in the Jura-Nord vaudois region.
|
E860320
|
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: Montcherand | Statement: [Jura-Nord vaudois, contains, Montcherand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montcherand Context triple: [Jura-Nord vaudois, contains, Montcherand]
-
A.
Moreuil
Moreuil is a small commune in northern France, located in the Somme department in the Hauts-de-France region.
-
B.
Chamrousse
Chamrousse is a French alpine ski resort and mountain commune in the Alps, known for its winter sports facilities and scenic high-altitude landscapes.
-
C.
Bourdigny
Bourdigny is a small village within the municipality of Satigny in the canton of Geneva, Switzerland.
-
D.
Chasseral
Chasseral is a prominent mountain in the Jura range of western Switzerland, known for its panoramic views and telecommunications installations.
-
E.
Veytaux
Veytaux is a small municipality on the shores of Lake Geneva in the canton of Vaud, Switzerland, known for its scenic setting and proximity to the historic Château de Chillon.
- 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: Montcherand Triple: [Jura-Nord vaudois, contains, Montcherand]
Generated description
Montcherand is a small Swiss municipality in the canton of Vaud, situated in the Jura-Nord vaudois region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Montcherand Target entity description: Montcherand is a small Swiss municipality in the canton of Vaud, situated in the Jura-Nord vaudois region.
-
A.
Moreuil
Moreuil is a small commune in northern France, located in the Somme department in the Hauts-de-France region.
-
B.
Chamrousse
Chamrousse is a French alpine ski resort and mountain commune in the Alps, known for its winter sports facilities and scenic high-altitude landscapes.
-
C.
Bourdigny
Bourdigny is a small village within the municipality of Satigny in the canton of Geneva, Switzerland.
-
D.
Chasseral
Chasseral is a prominent mountain in the Jura range of western Switzerland, known for its panoramic views and telecommunications installations.
-
E.
Veytaux
Veytaux is a small municipality on the shores of Lake Geneva in the canton of Vaud, Switzerland, known for its scenic setting and proximity to the historic Château de Chillon.
- 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.