Triple
T21426153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forez province |
E528558
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Forézien
Forézien is the French demonym for inhabitants of the historical Forez province in central France.
|
E1483314
|
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: Forézien | Statement: [Forez province, hasDemonym, Forézien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forézien Context triple: [Forez province, hasDemonym, Forézien]
-
A.
Ferques
Ferques is a small commune in the Pas-de-Calais department in northern France.
-
B.
Fuissé
Fuissé is a renowned wine-producing village in France’s Burgundy region, particularly famous for its Pouilly-Fuissé Chardonnay wines.
-
C.
Farciennes
Farciennes is an industrial town in the Walloon region of Belgium, historically associated with coal mining and heavy industry.
-
D.
Le Fossat
Le Fossat is a small commune in the Ariège department of southwestern France, known for its rural setting in the Occitanie region.
-
E.
Vaugier
Vaugier is the surname of Emmanuelle Vaugier, a Canadian actress and model known for roles in television series such as "Two and a Half Men" and "Smallville."
- 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: Forézien Triple: [Forez province, hasDemonym, Forézien]
Generated description
Forézien is the French demonym for inhabitants of the historical Forez province in central France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Forézien Target entity description: Forézien is the French demonym for inhabitants of the historical Forez province in central France.
-
A.
Ferques
Ferques is a small commune in the Pas-de-Calais department in northern France.
-
B.
Fuissé
Fuissé is a renowned wine-producing village in France’s Burgundy region, particularly famous for its Pouilly-Fuissé Chardonnay wines.
-
C.
Farciennes
Farciennes is an industrial town in the Walloon region of Belgium, historically associated with coal mining and heavy industry.
-
D.
Le Fossat
Le Fossat is a small commune in the Ariège department of southwestern France, known for its rural setting in the Occitanie region.
-
E.
Vaugier
Vaugier is the surname of Emmanuelle Vaugier, a Canadian actress and model known for roles in television series such as "Two and a Half Men" and "Smallville."
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee813c7a048190a400e364c8df1dcf |
completed | April 26, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c2a81ef08190a232757cf8785858 |
completed | May 17, 2026, 1:29 p.m. |
| NEDg | Description generation | batch_6a09c36e90dc8190b5628ddef17c9796 |
completed | May 17, 2026, 1:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09c3e4d2c881908b3438eebbd409f0 |
completed | May 17, 2026, 1:34 p.m. |
Created at: April 16, 2026, 5:48 p.m.