Triple
T21985977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Le Sancy |
E542961
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Valbeleix
Valbeleix is a small commune in the Puy-de-Dôme department of central France, situated in the mountainous Auvergne region.
|
E1511713
|
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: Valbeleix | Statement: [canton of Le Sancy, contains, Valbeleix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valbeleix Context triple: [canton of Le Sancy, contains, Valbeleix]
-
A.
Sury-en-Vaux
Sury-en-Vaux is a small rural commune in the Cher department of central France, known for its vineyards and traditional countryside setting.
-
B.
Biéville-Beuville
Biéville-Beuville is a commune in the Calvados department in the Normandy region of northwestern France.
-
C.
Belbeuf
Belbeuf is a commune in northern France that forms part of the greater Rouen metropolitan area.
-
D.
Contrexéville
Contrexéville is a spa town in northeastern France renowned for its mineral water and thermal baths.
-
E.
Vaux-sur-Sûre
Vaux-sur-Sûre is a rural municipality in the Luxembourg province of Wallonia in southeastern Belgium, known for its agricultural landscape and proximity to the Sûre River.
- 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: Valbeleix Triple: [canton of Le Sancy, contains, Valbeleix]
Generated description
Valbeleix is a small commune in the Puy-de-Dôme department of central France, situated in the mountainous Auvergne region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Valbeleix Target entity description: Valbeleix is a small commune in the Puy-de-Dôme department of central France, situated in the mountainous Auvergne region.
-
A.
Sury-en-Vaux
Sury-en-Vaux is a small rural commune in the Cher department of central France, known for its vineyards and traditional countryside setting.
-
B.
Biéville-Beuville
Biéville-Beuville is a commune in the Calvados department in the Normandy region of northwestern France.
-
C.
Belbeuf
Belbeuf is a commune in northern France that forms part of the greater Rouen metropolitan area.
-
D.
Contrexéville
Contrexéville is a spa town in northeastern France renowned for its mineral water and thermal baths.
-
E.
Vaux-sur-Sûre
Vaux-sur-Sûre is a rural municipality in the Luxembourg province of Wallonia in southeastern Belgium, known for its agricultural landscape and proximity to the Sûre River.
- 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12709cb288190a2620e337fea364c |
completed | April 28, 2026, 9:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a6d7d735081909b86cafe3bc85186 |
completed | May 18, 2026, 1:38 a.m. |
| NEDg | Description generation | batch_6a0a6e3690e88190a8cabaa29a84799e |
completed | May 18, 2026, 1:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a6ea775988190865a406893a467cc |
completed | May 18, 2026, 1:43 a.m. |
Created at: April 16, 2026, 8:04 p.m.