Triple
T17679921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pierre Audi |
E440740
|
entity |
| Predicate | workLocation |
P7
|
FINISHED |
| Object | Aix-en-Provence |
—
|
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: Aix-en-Provence | Statement: [Pierre Audi, workLocation, Aix-en-Provence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aix-en-Provence Context triple: [Pierre Audi, workLocation, Aix-en-Provence]
-
A.
Aix-en-Provence
chosen
Aix-en-Provence is a historic and picturesque city in southern France, renowned for its Provençal charm, fountains, and as the hometown of painter Paul Cézanne.
-
B.
Saint-Rémy-de-Provence
Saint-Rémy-de-Provence is a historic town in southern France known for its Provençal landscapes and as a place where Vincent van Gogh lived and painted several masterpieces.
-
C.
Marseillan
Marseillan is a coastal commune in southern France known for its historic port, oyster farming, and proximity to the Étang de Thau lagoon.
-
D.
Aix-les-Bains
Aix-les-Bains is a French spa and resort town in the Savoie department, renowned for its thermal baths and lakeside setting on the edge of the Alps.
-
E.
Nîmes
Nîmes is a historic city in southern France renowned for its well-preserved Roman monuments, including the Arena of Nîmes and the Maison Carrée.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4704357b8819087e3a93e9eefd858 |
completed | April 19, 2026, 6:03 a.m. |
Created at: April 10, 2026, 10:01 a.m.