Triple
T18450354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Apt |
E450763
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
La Motte-d’Aigues
La Motte-d’Aigues is a small commune in southeastern France’s Vaucluse department, known for its Provençal rural setting near the Luberon massif.
|
E1349717
|
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: La Motte-d’Aigues | Statement: [arrondissement of Apt, contains, La Motte-d’Aigues]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Motte-d’Aigues Context triple: [arrondissement of Apt, contains, La Motte-d’Aigues]
-
A.
Assencières
Assencières is a small commune in the Aube department of north-central France.
-
B.
Cazeneuve-Montaut
Cazeneuve-Montaut is a small commune in the Haute-Garonne department in southwestern France.
-
C.
Montgeroult
Montgeroult is a small commune in the Val-d'Oise department in northern France, known for its rural character and historic village setting.
-
D.
Remigny
Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
-
E.
Casseneuil
Casseneuil is a small commune in southwestern France, located in the Lot-et-Garonne department in the Nouvelle-Aquitaine 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: La Motte-d’Aigues Triple: [arrondissement of Apt, contains, La Motte-d’Aigues]
Generated description
La Motte-d’Aigues is a small commune in southeastern France’s Vaucluse department, known for its Provençal rural setting near the Luberon massif.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La Motte-d’Aigues Target entity description: La Motte-d’Aigues is a small commune in southeastern France’s Vaucluse department, known for its Provençal rural setting near the Luberon massif.
-
A.
Assencières
Assencières is a small commune in the Aube department of north-central France.
-
B.
Cazeneuve-Montaut
Cazeneuve-Montaut is a small commune in the Haute-Garonne department in southwestern France.
-
C.
Montgeroult
Montgeroult is a small commune in the Val-d'Oise department in northern France, known for its rural character and historic village setting.
-
D.
Remigny
Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
-
E.
Casseneuil
Casseneuil is a small commune in southwestern France, located in the Lot-et-Garonne department in the Nouvelle-Aquitaine 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_6a0590f7ebf88190a2f54fe547631174 |
completed | May 14, 2026, 9:08 a.m. |
| NEDg | Description generation | batch_6a0594daef208190b6a972c0cc6c8b1b |
completed | May 14, 2026, 9:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0595485b64819081169766ad8971a6 |
completed | May 14, 2026, 9:26 a.m. |
Created at: April 10, 2026, 11:31 a.m.