Triple
T10953536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Brienne-le-Château |
E258782
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object |
Radonvilliers
Radonvilliers is a commune in the Aube department in north-central France.
|
E894905
|
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: Radonvilliers | Statement: [canton of Brienne-le-Château, containsAdministrativeTerritorialEntity, Radonvilliers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Radonvilliers Context triple: [canton of Brienne-le-Château, containsAdministrativeTerritorialEntity, Radonvilliers]
-
A.
Verrières
Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
-
B.
Vernouillet
Vernouillet is a commune in northern France located in the Eure-et-Loir department in the Centre-Val de Loire region.
-
C.
Villaraboud
Villaraboud is a small municipality located in the Glâne District of the canton of Fribourg in western Switzerland.
-
D.
Vaujours
Vaujours is a small suburban commune in the northeastern outskirts of Paris, France.
-
E.
Beuvron
Beuvron is a small river in central France that serves as a tributary of the Loire.
- 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: Radonvilliers Triple: [canton of Brienne-le-Château, containsAdministrativeTerritorialEntity, Radonvilliers]
Generated description
Radonvilliers is a commune in the Aube department in north-central France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Radonvilliers Target entity description: Radonvilliers is a commune in the Aube department in north-central France.
-
A.
Verrières
Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
-
B.
Vernouillet
Vernouillet is a commune in northern France located in the Eure-et-Loir department in the Centre-Val de Loire region.
-
C.
Villaraboud
Villaraboud is a small municipality located in the Glâne District of the canton of Fribourg in western Switzerland.
-
D.
Vaujours
Vaujours is a small suburban commune in the northeastern outskirts of Paris, France.
-
E.
Beuvron
Beuvron is a small river in central France that serves as a tributary of the Loire.
- 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_69e23c64089c8190a9c0aa63d7e7dc64 |
completed | April 17, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69e24543bd2c8190a3c807baa76c30f6 |
completed | April 17, 2026, 2:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e25d11ef24819091e730ae2416a058 |
completed | April 17, 2026, 4:17 p.m. |
Created at: April 8, 2026, 9:23 p.m.