Triple
T8347543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orvieto |
E196077
|
entity |
| Predicate | twinnedWith |
P1072
|
FINISHED |
| Object | Aubagne |
E307896
|
NE FINISHED |
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: Aubagne | Statement: [Orvieto, twinnedWith, Aubagne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aubagne Context triple: [Orvieto, twinnedWith, Aubagne]
-
A.
Aubagne
chosen
Aubagne is a town in southern France near Marseille, known as the home base of the French Foreign Legion and for its Provençal culture and ceramics.
-
B.
Le Cannet
Le Cannet is a commune in the Alpes-Maritimes department of southeastern France, located just north of Cannes on the French Riviera.
-
C.
Mouans-Sartoux
Mouans-Sartoux is a commune in southeastern France known for its cultural events and location between Cannes and Grasse on the French Riviera.
-
D.
Mandelieu-la-Napoule
Mandelieu-la-Napoule is a coastal resort town on the French Riviera in southeastern France, known for its beaches, marina, and proximity to Cannes.
-
E.
Saint-Martin-du-Var
Saint-Martin-du-Var is a small commune in southeastern France situated in the Alpes-Maritimes department near Nice.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82edd63c8190b876b8465464c5fa |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb801588e881908ac0a291280ac0f8 |
completed | March 31, 2026, 8:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc745f33c8190a043aff437874391 |
completed | April 2, 2026, 1:32 a.m. |
Created at: March 30, 2026, 5:58 p.m.