Triple
T4721662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vendôme |
E104780
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Vendômois
Vendômois is the French demonym referring to inhabitants or natives of the town of Vendôme in central France.
|
E464898
|
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: Vendômois | Statement: [Vendôme, hasDemonym, Vendômois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vendômois Context triple: [Vendôme, hasDemonym, Vendômois]
-
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.
Bresse
Bresse is a historical region in eastern France known for its rich agricultural land, distinctive culinary traditions, and cultural ties to the Franco-Provençal linguistic area.
-
C.
Douaumont
Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
-
D.
Cuiseaux
Cuiseaux is a small commune in eastern France, notable as the birthplace of the painter Édouard Vuillard.
-
E.
Givry
Givry is a Burgundy wine appellation in eastern France, noted for its predominantly Pinot Noir red wines with a reputation for good value and quality.
- 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: Vendômois Triple: [Vendôme, hasDemonym, Vendômois]
Generated description
Vendômois is the French demonym referring to inhabitants or natives of the town of Vendôme in central France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vendômois Target entity description: Vendômois is the French demonym referring to inhabitants or natives of the town of Vendôme in central France.
-
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.
Bresse
Bresse is a historical region in eastern France known for its rich agricultural land, distinctive culinary traditions, and cultural ties to the Franco-Provençal linguistic area.
-
C.
Douaumont
Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
-
D.
Cuiseaux
Cuiseaux is a small commune in eastern France, notable as the birthplace of the painter Édouard Vuillard.
-
E.
Givry
Givry is a Burgundy wine appellation in eastern France, noted for its predominantly Pinot Noir red wines with a reputation for good value and quality.
- 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_69bd43ed84648190ae0b7ee8e8d00482 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd642a1a808190afeefc9d65e6c539 |
completed | March 20, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be1094fd9c81909e12723394f9ae0a |
completed | March 21, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69be12b1c9088190bb6b307bfc46b75c |
completed | March 21, 2026, 3:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be1318d494819084fac7c6d16db4e5 |
completed | March 21, 2026, 3:40 a.m. |
Created at: March 20, 2026, 1:18 p.m.