Triple
T5705426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dolomieu |
E125771
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Dolomieucoises
Dolomieucoises are the female inhabitants or natives of the French commune of Dolomieu in the Isère department.
|
E542120
|
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: Dolomieucoises | Statement: [Dolomieu, hasDemonym, Dolomieucoises]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dolomieucoises Context triple: [Dolomieu, hasDemonym, Dolomieucoises]
-
A.
Auberjonois
Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
-
B.
Étrembières
Étrembières is a commune in southeastern France’s Haute-Savoie department, located near Geneva along the French-Swiss border.
-
C.
Cigales
Cigales is a small town in the province of Valladolid, Spain, known historically as a royal residence and for its wine production.
-
D.
Louletano
Louletano is the Portuguese demonym used to refer to people or things originating from the city of Loulé in the Algarve region.
-
E.
Vauvert
Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
- 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: Dolomieucoises Triple: [Dolomieu, hasDemonym, Dolomieucoises]
Generated description
Dolomieucoises are the female inhabitants or natives of the French commune of Dolomieu in the Isère department.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dolomieucoises Target entity description: Dolomieucoises are the female inhabitants or natives of the French commune of Dolomieu in the Isère department.
-
A.
Auberjonois
Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
-
B.
Étrembières
Étrembières is a commune in southeastern France’s Haute-Savoie department, located near Geneva along the French-Swiss border.
-
C.
Cigales
Cigales is a small town in the province of Valladolid, Spain, known historically as a royal residence and for its wine production.
-
D.
Louletano
Louletano is the Portuguese demonym used to refer to people or things originating from the city of Loulé in the Algarve region.
-
E.
Vauvert
Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
- 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_69c0082c96988190b3a6a201edce472a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02459cd18819080fda0b481d11f08 |
completed | March 22, 2026, 5:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a666d788190a0f786d12391a44b |
completed | March 22, 2026, 9:08 p.m. |
| NEDg | Description generation | batch_69c05be7f7cc8190bb1f8081289c5e02 |
completed | March 22, 2026, 9:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0621308588190a0d7a86bb804134d |
completed | March 22, 2026, 9:41 p.m. |
Created at: March 22, 2026, 3:45 p.m.