Triple
T18450387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Pertuis |
E450764
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | La Motte-d’Aigues |
—
|
NE NERFINISHED |
How this triple was built (2 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: [canton of Pertuis, 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: [canton of Pertuis, contains, La Motte-d’Aigues]
-
A.
La Motte-d’Aigues
chosen
La Motte-d’Aigues is a small commune in southeastern France’s Vaucluse department, known for its Provençal rural setting near the Luberon massif.
-
B.
Assencières
Assencières is a small commune in the Aube department of north-central France.
-
C.
Cazeneuve-Montaut
Cazeneuve-Montaut is a small commune in the Haute-Garonne department in southwestern France.
-
D.
Montgeroult
Montgeroult is a small commune in the Val-d'Oise department in northern France, known for its rural character and historic village setting.
-
E.
Remigny
Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 10, 2026, 11:31 a.m.