Triple
T12084836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bergen, Germany |
E287779
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | CE |
E164379
|
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: CE | Statement: [Bergen, Germany, vehicleRegistrationCode, CE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CE Context triple: [Bergen, Germany, vehicleRegistrationCode, CE]
-
A.
CE
CE is the stock ticker symbol for Celanese Corporation, a global chemical and specialty materials company traded on the New York Stock Exchange.
-
B.
CE
CE is the Italian vehicle registration code assigned to the Province of Caserta in the Campania region.
-
C.
CE
CE is the vehicle registration code used on license plates for the Spanish autonomous city of Ceuta in North Africa.
-
D.
CE
chosen
CE is the vehicle registration code used for the district of Celle in Lower Saxony, Germany.
-
E.
CE
CE is the standard abbreviation for the Catholic Encyclopedia, a comprehensive reference work on Catholic doctrine, history, and practice.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91513bbb0819084a8bb877e03060c |
completed | April 10, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f666bf1c819089de1235617e775b |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.