Triple
T18450337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Apt |
E450763
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Caseneuve
Caseneuve is a small rural commune in southeastern France’s Vaucluse department, known for its hilltop setting and views over the Luberon region.
|
E1334771
|
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: Caseneuve | Statement: [arrondissement of Apt, contains, Caseneuve]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caseneuve Context triple: [arrondissement of Apt, contains, Caseneuve]
-
A.
Dagneux
Dagneux is a commune in eastern France’s Ain department, known for its residential character and proximity to the Lyon metropolitan area.
-
B.
Lantheuil
Lantheuil is a small commune in the Calvados department of the Normandy region in northwestern France.
-
C.
Roquebillière
Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
-
D.
Cazeneuve
Cazeneuve is a French surname most notably borne by Bernard Cazeneuve, a prominent French politician and former Prime Minister of France.
-
E.
Vallières
Vallières is a commune in the Nord-Est department of Haiti, known as a small rural settlement within the country’s northern 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: Caseneuve Triple: [arrondissement of Apt, contains, Caseneuve]
Generated description
Caseneuve is a small rural commune in southeastern France’s Vaucluse department, known for its hilltop setting and views over the Luberon region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Caseneuve Target entity description: Caseneuve is a small rural commune in southeastern France’s Vaucluse department, known for its hilltop setting and views over the Luberon region.
-
A.
Dagneux
Dagneux is a commune in eastern France’s Ain department, known for its residential character and proximity to the Lyon metropolitan area.
-
B.
Lantheuil
Lantheuil is a small commune in the Calvados department of the Normandy region in northwestern France.
-
C.
Roquebillière
Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
-
D.
Cazeneuve
Cazeneuve is a French surname most notably borne by Bernard Cazeneuve, a prominent French politician and former Prime Minister of France.
-
E.
Vallières
Vallières is a commune in the Nord-Est department of Haiti, known as a small rural settlement within the country’s northern 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5264748dc8190984501af3e4b2036 |
completed | April 19, 2026, 7 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a050d6284f48190874e24445354504f |
completed | May 13, 2026, 11:46 p.m. |
| NEDg | Description generation | batch_6a050de828dc8190b09905614cf9197b |
completed | May 13, 2026, 11:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a050e6112e88190a399cf58ea6c8401 |
completed | May 13, 2026, 11:50 p.m. |
Created at: April 10, 2026, 11:31 a.m.