Triple
T11230069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vallée d’Abondance |
E265796
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Chevenoz
Chevenoz is a small rural commune in the Haute-Savoie department of southeastern France, situated in the Alpine Vallée d’Abondance near the Swiss border.
|
E924045
|
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: Chevenoz | Statement: [Vallée d’Abondance, containsSettlement, Chevenoz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chevenoz Context triple: [Vallée d’Abondance, containsSettlement, Chevenoz]
-
A.
Gueugnon
Gueugnon is a small commune in eastern France known historically for its steel industry and location in the Bourgogne-Franche-Comté region.
-
B.
Lussy
Lussy is a small municipality in the Glâne District of the canton of Fribourg in western Switzerland.
-
C.
Chavornay
Chavornay is a municipality in the canton of Vaud in western Switzerland, known for its rural character and location in the Orbe plain.
-
D.
Peisey-Vallandry
Peisey-Vallandry is a French Alpine ski resort and traditional mountain village area in the Savoie region, known for its access to the Paradiski ski domain.
-
E.
Chasseral
Chasseral is a prominent mountain in the Jura range of western Switzerland, known for its panoramic views and telecommunications installations.
- 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: Chevenoz Triple: [Vallée d’Abondance, containsSettlement, Chevenoz]
Generated description
Chevenoz is a small rural commune in the Haute-Savoie department of southeastern France, situated in the Alpine Vallée d’Abondance near the Swiss border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chevenoz Target entity description: Chevenoz is a small rural commune in the Haute-Savoie department of southeastern France, situated in the Alpine Vallée d’Abondance near the Swiss border.
-
A.
Gueugnon
Gueugnon is a small commune in eastern France known historically for its steel industry and location in the Bourgogne-Franche-Comté region.
-
B.
Lussy
Lussy is a small municipality in the Glâne District of the canton of Fribourg in western Switzerland.
-
C.
Chavornay
Chavornay is a municipality in the canton of Vaud in western Switzerland, known for its rural character and location in the Orbe plain.
-
D.
Peisey-Vallandry
Peisey-Vallandry is a French Alpine ski resort and traditional mountain village area in the Savoie region, known for its access to the Paradiski ski domain.
-
E.
Chasseral
Chasseral is a prominent mountain in the Jura range of western Switzerland, known for its panoramic views and telecommunications installations.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e900fbcc8190a3177f8a73564433 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b795f7948190a0dd53e8e034fe58 |
completed | April 20, 2026, 5:20 a.m. |
| NEDg | Description generation | batch_69e5bb5d6e0c8190933cd3d6e83c24a2 |
completed | April 20, 2026, 5:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5c29d7b608190ae79bb8318211547 |
completed | April 20, 2026, 6:07 a.m. |
Created at: April 8, 2026, 9:30 p.m.