Triple
T22739222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port-Valais |
E562360
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Le Bouveret
Le Bouveret is a lakeside village and tourist resort on the shores of Lake Geneva in the Swiss canton of Valais.
|
E1552701
|
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: Le Bouveret | Statement: [Port-Valais, hasPart, Le Bouveret]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Bouveret Context triple: [Port-Valais, hasPart, Le Bouveret]
-
A.
Le Châble
Le Châble is a village in the Swiss canton of Valais that serves as the main gateway and transport hub for the Verbier ski area in the Val de Bagnes.
-
B.
Le Brévent
Le Brévent is a popular mountain and viewpoint above Chamonix in the French Alps, known for its panoramic vistas of Mont Blanc and easy access via cable car.
-
C.
Le Collet d’Allevard
Le Collet d’Allevard is a French alpine ski resort located in the Belledonne mountain range in the Alps.
-
D.
Pas de Bellecombe
Pas de Bellecombe is a prominent viewpoint on Réunion Island offering panoramic views into the active volcanic crater of Piton de la Fournaise.
-
E.
Roche à Sept Heures
Roche à Sept Heures is a scenic rocky viewpoint near Monthermé in the French Ardennes, known for its panoramic views over the Meuse valley and surrounding forests.
- 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: Le Bouveret Triple: [Port-Valais, hasPart, Le Bouveret]
Generated description
Le Bouveret is a lakeside village and tourist resort on the shores of Lake Geneva in the Swiss canton of Valais.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Le Bouveret Target entity description: Le Bouveret is a lakeside village and tourist resort on the shores of Lake Geneva in the Swiss canton of Valais.
-
A.
Le Châble
Le Châble is a village in the Swiss canton of Valais that serves as the main gateway and transport hub for the Verbier ski area in the Val de Bagnes.
-
B.
Le Brévent
Le Brévent is a popular mountain and viewpoint above Chamonix in the French Alps, known for its panoramic vistas of Mont Blanc and easy access via cable car.
-
C.
Le Collet d’Allevard
Le Collet d’Allevard is a French alpine ski resort located in the Belledonne mountain range in the Alps.
-
D.
Pas de Bellecombe
Pas de Bellecombe is a prominent viewpoint on Réunion Island offering panoramic views into the active volcanic crater of Piton de la Fournaise.
-
E.
Roche à Sept Heures
Roche à Sept Heures is a scenic rocky viewpoint near Monthermé in the French Ardennes, known for its panoramic views over the Meuse valley and surrounding forests.
- 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_69e245513a5c81908d5cb471b4fc429d |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1797241588190be67db7a37a88f23 |
completed | April 29, 2026, 3:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b8fce978c81908b83f84dc1357c91 |
completed | May 18, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_6a0b937b20008190817512be3d48df39 |
completed | May 18, 2026, 10:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b946320e0819097ef9c4638595dff |
completed | May 18, 2026, 10:36 p.m. |
Created at: April 17, 2026, 3:23 p.m.