Triple
T13033280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Bresse |
E326493
|
entity |
| Predicate | hasSkiArea |
P1981
|
FINISHED |
| Object |
La Bresse-Lispach
La Bresse-Lispach is a French ski area in the Vosges Mountains known for its cross-country skiing trails and family-friendly winter sports facilities.
|
E1032364
|
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: La Bresse-Lispach | Statement: [La Bresse, hasSkiArea, La Bresse-Lispach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Bresse-Lispach Context triple: [La Bresse, hasSkiArea, La Bresse-Lispach]
-
A.
Saignelégier
Saignelégier is a municipality in the Swiss canton of Jura known for its rural landscapes, watchmaking heritage, and the annual Marché-Concours horse festival.
-
B.
Lussy
Lussy is a small municipality in the Glâne District of the canton of Fribourg in western Switzerland.
-
C.
Chassieu
Chassieu is a commune in the Metropolis of Lyon in eastern France, known for its residential areas and proximity to the Lyon urban center.
-
D.
Olbreuse
Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
-
E.
Montbéliard
Montbéliard is a historic town in eastern France, near the Swiss border, known for its former status as a Württemberg principality and its distinctive blend of French and German cultural influences.
- 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: La Bresse-Lispach Triple: [La Bresse, hasSkiArea, La Bresse-Lispach]
Generated description
La Bresse-Lispach is a French ski area in the Vosges Mountains known for its cross-country skiing trails and family-friendly winter sports facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La Bresse-Lispach Target entity description: La Bresse-Lispach is a French ski area in the Vosges Mountains known for its cross-country skiing trails and family-friendly winter sports facilities.
-
A.
Saignelégier
Saignelégier is a municipality in the Swiss canton of Jura known for its rural landscapes, watchmaking heritage, and the annual Marché-Concours horse festival.
-
B.
Lussy
Lussy is a small municipality in the Glâne District of the canton of Fribourg in western Switzerland.
-
C.
Chassieu
Chassieu is a commune in the Metropolis of Lyon in eastern France, known for its residential areas and proximity to the Lyon urban center.
-
D.
Olbreuse
Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
-
E.
Montbéliard
Montbéliard is a historic town in eastern France, near the Swiss border, known for its former status as a Württemberg principality and its distinctive blend of French and German cultural influences.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efe72348190b52fb4068f5fb829 |
completed | April 10, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716b885708190b6c38c481fa9ca21 |
completed | May 3, 2026, 9:34 a.m. |
| NEDg | Description generation | batch_69f7177e07508190b46e6a12f09e7986 |
completed | May 3, 2026, 9:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f717e72b988190927b628022bcbf12 |
completed | May 3, 2026, 9:39 a.m. |
Created at: April 9, 2026, 8:54 p.m.