Triple
T20903385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canton of Basel-Stadt |
E514727
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | BS |
—
|
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: BS | Statement: [Canton of Basel-Stadt, vehicleRegistrationCode, BS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BS Context triple: [Canton of Basel-Stadt, vehicleRegistrationCode, BS]
-
A.
BS
chosen
BS is the vehicle registration code used on license plates for the Swiss canton of Basel-Stadt.
-
B.
BS
BS is the official vehicle registration code used on license plates for the German city of Braunschweig.
-
C.
BS
BS is a postcode area in southwest England that primarily covers Bristol and surrounding regions.
-
D.
BS
BS is the two-letter ISO 3166 country code representing the Commonwealth of The Bahamas.
-
E.
BS
BS is the designation used for British Standards, the national standards published by BSI Group in the United Kingdom.
- 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_69e0b4f8a1108190bce3d31331290ced |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6e8fe4b808190bbc1bbde7a11f283 |
completed | April 21, 2026, 3:03 a.m. |
Created at: April 16, 2026, 12:47 p.m.