Triple
T21346845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rue Bonaparte |
E526361
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Left Bank |
—
|
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: Left Bank | Statement: [Rue Bonaparte, locatedIn, Left Bank]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Left Bank Context triple: [Rue Bonaparte, locatedIn, Left Bank]
-
A.
Left Bank
Left Bank is a riverside area in Manchester, England, known for its cultural and civic buildings along the River Irwell.
-
B.
Left Bank
The Left Bank is a renowned wine-producing area in Bordeaux, France, famous for its gravelly soils and prestigious Cabernet Sauvignon–dominant red wines.
-
C.
The Left Bank
"The Left Bank" is a collection of stark, autobiographical short stories by Soviet writer Varlam Shalamov, drawn from his harrowing experiences in the Gulag labor camps.
-
D.
Left Bank of the Seine
chosen
The Left Bank of the Seine is the historically bohemian, intellectual, and artistic southern side of central Paris, renowned for its cafés, universities, and literary culture.
-
E.
Right Bank of the Seine
The Right Bank of the Seine is the historically prominent northern bank of the Seine River in Paris, known for its major cultural, commercial, and political landmarks.
- 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5ba8f1c8819089c5d753876b44d5 |
completed | April 26, 2026, 6:38 p.m. |
Created at: April 16, 2026, 4:55 p.m.