Triple
T13842801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varreddes |
E332705
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Raverdinois
Raverdinois are the inhabitants or natives of the commune of Varreddes in France.
|
E1064310
|
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: Raverdinois | Statement: [Varreddes, hasDemonym, Raverdinois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raverdinois Context triple: [Varreddes, hasDemonym, Raverdinois]
-
A.
Valentinois
Valentinois are the inhabitants or natives of Valence, a city in the Drôme department of southeastern France.
-
B.
Auberjonois
Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
-
C.
Berrichon dialect
The Berrichon dialect is a regional variety of French traditionally spoken in the Berry region of central France, reflecting its distinct rural and historical linguistic heritage.
-
D.
Saint-Germanois
Saint-Germanois is the French demonym for inhabitants of the town of Saint-Germain-en-Laye, located in the western suburbs of Paris.
-
E.
Champenois language
The Champenois language is a regional Romance language of northeastern France, traditionally spoken in the Champagne area and closely related to other langues d’oïl.
- 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: Raverdinois Triple: [Varreddes, hasDemonym, Raverdinois]
Generated description
Raverdinois are the inhabitants or natives of the commune of Varreddes in France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Raverdinois Target entity description: Raverdinois are the inhabitants or natives of the commune of Varreddes in France.
-
A.
Valentinois
Valentinois are the inhabitants or natives of Valence, a city in the Drôme department of southeastern France.
-
B.
Auberjonois
Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
-
C.
Berrichon dialect
The Berrichon dialect is a regional variety of French traditionally spoken in the Berry region of central France, reflecting its distinct rural and historical linguistic heritage.
-
D.
Saint-Germanois
Saint-Germanois is the French demonym for inhabitants of the town of Saint-Germain-en-Laye, located in the western suburbs of Paris.
-
E.
Champenois language
The Champenois language is a regional Romance language of northeastern France, traditionally spoken in the Champagne area and closely related to other langues d’oïl.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02afce788190a74dce4e6a3569fa |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8f87c188190b90faf7678cb9ad4 |
completed | May 3, 2026, 9:07 p.m. |
| NEDg | Description generation | batch_69f7b9da1f848190a0c7e8d8a2b0954d |
completed | May 3, 2026, 9:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7bbf47c888190be32a4105903120a |
completed | May 3, 2026, 9:19 p.m. |
Created at: April 9, 2026, 10:13 p.m.