Triple
T18887755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Tzoumaz |
E462000
|
entity |
| Predicate | hasSkiLiftConnectionTo |
P51778
|
FINISHED |
| Object |
Savoleyres
Savoleyres is a ski area in the Swiss Alps known for its slopes and lift connections between the resorts of Verbier and La Tzoumaz.
|
E1367091
|
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: Savoleyres | Statement: [La Tzoumaz, hasSkiLiftConnectionTo, Savoleyres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Savoleyres Context triple: [La Tzoumaz, hasSkiLiftConnectionTo, Savoleyres]
-
A.
Assencières
Assencières is a small commune in the Aube department of north-central France.
-
B.
Serques
Serques is a small commune in the Pas-de-Calais department in northern France, situated within the administrative area of Saint-Omer.
-
C.
Saulcy
Saulcy is a small municipality in the canton of Jura in northwestern Switzerland.
-
D.
Les Neyres
Les Neyres is a small village in the Swiss canton of Valais that forms part of the municipality of Vionnaz.
-
E.
Bruyères
Bruyères is a commune in northeastern France’s Vosges department, known for its World War II liberation during the Battle of Bruyères involving the U.S. Army’s 442nd Regimental Combat Team.
- 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: Savoleyres Triple: [La Tzoumaz, hasSkiLiftConnectionTo, Savoleyres]
Generated description
Savoleyres is a ski area in the Swiss Alps known for its slopes and lift connections between the resorts of Verbier and La Tzoumaz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Savoleyres Target entity description: Savoleyres is a ski area in the Swiss Alps known for its slopes and lift connections between the resorts of Verbier and La Tzoumaz.
-
A.
Assencières
Assencières is a small commune in the Aube department of north-central France.
-
B.
Serques
Serques is a small commune in the Pas-de-Calais department in northern France, situated within the administrative area of Saint-Omer.
-
C.
Saulcy
Saulcy is a small municipality in the canton of Jura in northwestern Switzerland.
-
D.
Les Neyres
Les Neyres is a small village in the Swiss canton of Valais that forms part of the municipality of Vionnaz.
-
E.
Bruyères
Bruyères is a commune in northeastern France’s Vosges department, known for its World War II liberation during the Battle of Bruyères involving the U.S. Army’s 442nd Regimental Combat Team.
- 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c4777434819098850da0ee1c6b43 |
completed | April 20, 2026, 6:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a070e57a6ac81909dadc48731dc9940 |
completed | May 15, 2026, 12:15 p.m. |
| NEDg | Description generation | batch_6a070ee343008190a1be4338889ae540 |
completed | May 15, 2026, 12:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a070f5c89348190925244dd0460bcdc |
completed | May 15, 2026, 12:19 p.m. |
Created at: April 10, 2026, 11:58 a.m.