Triple
T18450335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Apt |
E450763
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Buoux
Buoux is a small village in southeastern France known for its dramatic limestone cliffs and popularity as a rock-climbing destination.
|
E1335534
|
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: Buoux | Statement: [arrondissement of Apt, contains, Buoux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buoux Context triple: [arrondissement of Apt, contains, Buoux]
-
A.
Lacotte
Lacotte is a French surname most notably associated with Pierre Lacotte, a renowned ballet dancer, choreographer, and director known for reviving 19th-century ballets.
-
B.
Beaujeu
Beaujeu is the pseudonym of Jean Monceau, under which he is known in his professional and public activities.
-
C.
Mouriès
Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
-
D.
Badaroux
Badaroux is a small commune in the Lozère department of southern France, situated within the administrative area of the arrondissement of Mende.
-
E.
Malaucène
Malaucène is a picturesque Provençal village in southeastern France, known as a popular base for cyclists and tourists visiting and climbing Mont Ventoux.
- 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: Buoux Triple: [arrondissement of Apt, contains, Buoux]
Generated description
Buoux is a small village in southeastern France known for its dramatic limestone cliffs and popularity as a rock-climbing destination.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Buoux Target entity description: Buoux is a small village in southeastern France known for its dramatic limestone cliffs and popularity as a rock-climbing destination.
-
A.
Lacotte
Lacotte is a French surname most notably associated with Pierre Lacotte, a renowned ballet dancer, choreographer, and director known for reviving 19th-century ballets.
-
B.
Beaujeu
Beaujeu is the pseudonym of Jean Monceau, under which he is known in his professional and public activities.
-
C.
Mouriès
Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
-
D.
Badaroux
Badaroux is a small commune in the Lozère department of southern France, situated within the administrative area of the arrondissement of Mende.
-
E.
Malaucène
Malaucène is a picturesque Provençal village in southeastern France, known as a popular base for cyclists and tourists visiting and climbing Mont Ventoux.
- 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_6a051709a15c8190bea7d6bc6d70b4e4 |
completed | May 14, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_6a0517f3c948819093d8703856b1107f |
completed | May 14, 2026, 12:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05187ddccc8190996d0f2c7ed37eea |
completed | May 14, 2026, 12:34 a.m. |
Created at: April 10, 2026, 11:31 a.m.