Triple
T18450314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Apt |
E450763
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Lourmarin |
—
|
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: Lourmarin | Statement: [arrondissement of Apt, contains, Lourmarin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lourmarin Context triple: [arrondissement of Apt, contains, Lourmarin]
-
A.
Seysses
Seysses is a commune in southwestern France, located in the Haute-Garonne department near Toulouse.
-
B.
Marignane
Marignane is a commune in southern France near Marseille, known for hosting Marseille Provence Airport and its proximity to the Mediterranean coast.
-
C.
Aigues-Mortes
Aigues-Mortes is a historic fortified town in southern France, renowned for its well-preserved medieval walls and proximity to the salt marshes of the Camargue.
-
D.
Lourmarin, France
chosen
Lourmarin, France is a picturesque Provençal village in the Luberon region of southeastern France, known for its Renaissance château, vibrant cultural life, and association with writer Albert Camus.
-
E.
Ramatuelle
Ramatuelle is a picturesque hilltop village and coastal commune on the French Riviera, known for its medieval charm and proximity to the beaches of the Saint-Tropez area.
- 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.