Triple
T20447546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of L’Isle-sur-la-Sorgue |
E501555
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Saignon |
—
|
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: Saignon | Statement: [canton of L’Isle-sur-la-Sorgue, contains, Saignon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saignon Context triple: [canton of L’Isle-sur-la-Sorgue, contains, Saignon]
-
A.
Saignon
chosen
Saignon is a picturesque hilltop village in southeastern France’s Vaucluse department, known for its medieval architecture and panoramic views over the Luberon valley.
-
B.
Aixois
Aixois is the French demonym for inhabitants of the spa town of Aix-les-Bains in southeastern France.
-
C.
Sevrier
Sevrier is a lakeside commune in southeastern France situated on the western shore of Lake Annecy in the Haute-Savoie department.
-
D.
Cuiseaux
Cuiseaux is a small commune in eastern France, notable as the birthplace of the painter Édouard Vuillard.
-
E.
Saussignac
Saussignac is a small wine-producing commune in southwestern France, known for its sweet white wines made primarily from Sémillon and other Bordeaux grape varieties.
- 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_69e0b4ac0a1c81908845d0f8a56abce8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68cfe57a8819094bd3d324bd567f5 |
completed | April 20, 2026, 8:30 p.m. |
Created at: April 16, 2026, 11:32 a.m.