Triple
T10953479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Bar-sur-Aube |
E258781
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Juvancourt
Juvancourt is a small commune in the Aube department in north-central France.
|
E905358
|
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: Juvancourt | Statement: [arrondissement of Bar-sur-Aube, contains, Juvancourt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juvancourt Context triple: [arrondissement of Bar-sur-Aube, contains, Juvancourt]
-
A.
Morlaincourt
Morlaincourt is a small commune in northeastern France, likely known locally for its rural character and proximity to the Yonne river’s headwaters.
-
B.
Villers-le-Bouillet
Villers-le-Bouillet is a municipality in the province of Liège in Wallonia, Belgium.
-
C.
Beaucourt
Beaucourt is a small French commune located in the northeastern region of Bourgogne-Franche-Comté near the Swiss border.
-
D.
Fauvillers
Fauvillers is a rural municipality in the province of Luxembourg in Wallonia, Belgium, known for its small villages and countryside landscapes.
-
E.
Breteuil
Breteuil is a commune in northern France that serves as a local administrative and service hub for its surrounding rural area.
- 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: Juvancourt Triple: [arrondissement of Bar-sur-Aube, contains, Juvancourt]
Generated description
Juvancourt is a small commune in the Aube department in north-central France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Juvancourt Target entity description: Juvancourt is a small commune in the Aube department in north-central France.
-
A.
Morlaincourt
Morlaincourt is a small commune in northeastern France, likely known locally for its rural character and proximity to the Yonne river’s headwaters.
-
B.
Villers-le-Bouillet
Villers-le-Bouillet is a municipality in the province of Liège in Wallonia, Belgium.
-
C.
Beaucourt
Beaucourt is a small French commune located in the northeastern region of Bourgogne-Franche-Comté near the Swiss border.
-
D.
Fauvillers
Fauvillers is a rural municipality in the province of Luxembourg in Wallonia, Belgium, known for its small villages and countryside landscapes.
-
E.
Breteuil
Breteuil is a commune in northern France that serves as a local administrative and service hub for its surrounding rural area.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770fe4cfc81909032296c31e077f0 |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d4f9518819091f7e02ad5f63ab3 |
completed | April 19, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69e42f3dd02c8190b40bc692c24b2ff4 |
completed | April 19, 2026, 1:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4375eaf448190a17f8df1e83145e0 |
completed | April 19, 2026, 2:01 a.m. |
Created at: April 8, 2026, 9:23 p.m.