Triple
T12694451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vulaines-sur-Seine |
E303293
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Vulaignots
Vulaignots are the inhabitants or natives of the French commune of Vulaines-sur-Seine in the Île-de-France region.
|
E998235
|
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: Vulaignots | Statement: [Vulaines-sur-Seine, hasDemonym, Vulaignots]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vulaignots Context triple: [Vulaines-sur-Seine, hasDemonym, Vulaignots]
-
A.
Saucats
Saucats is a commune in southwestern France’s Gironde department, known for its vineyards and location within the prestigious Pessac-Léognan wine-growing area.
-
B.
Vauvert
Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
-
C.
Préverenges
Préverenges is a Swiss municipality on the shores of Lake Geneva in the canton of Vaud, known for its lakeside setting and residential character.
-
D.
Le Guignon
Le Guignon is a poem by French writer Charles Baudelaire, included among his early poetic works.
-
E.
Villénogarennoises
Villénogarennoises are the female inhabitants or natives of the French commune of Villeneuve-la-Garenne.
- 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: Vulaignots Triple: [Vulaines-sur-Seine, hasDemonym, Vulaignots]
Generated description
Vulaignots are the inhabitants or natives of the French commune of Vulaines-sur-Seine in the Île-de-France region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vulaignots Target entity description: Vulaignots are the inhabitants or natives of the French commune of Vulaines-sur-Seine in the Île-de-France region.
-
A.
Saucats
Saucats is a commune in southwestern France’s Gironde department, known for its vineyards and location within the prestigious Pessac-Léognan wine-growing area.
-
B.
Vauvert
Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
-
C.
Préverenges
Préverenges is a Swiss municipality on the shores of Lake Geneva in the canton of Vaud, known for its lakeside setting and residential character.
-
D.
Le Guignon
Le Guignon is a poem by French writer Charles Baudelaire, included among his early poetic works.
-
E.
Villénogarennoises
Villénogarennoises are the female inhabitants or natives of the French commune of Villeneuve-la-Garenne.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ebd17081909f983567e4b36533 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671ae935c8190a7fc2cf3c0987248 |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f6740129688190b286ce7acb4848c7 |
completed | May 2, 2026, 10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f675249d248190933421df49d3a2ab |
completed | May 2, 2026, 10:05 p.m. |
Created at: April 9, 2026, 5:22 p.m.