Triple
T22829150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landkreis Karlsruhe |
E565748
|
entity |
| Predicate | hasVehicleRegistrationCode |
P1173
|
FINISHED |
| Object | KA |
—
|
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: KA | Statement: [Landkreis Karlsruhe, hasVehicleRegistrationCode, KA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KA Context triple: [Landkreis Karlsruhe, hasVehicleRegistrationCode, KA]
-
A.
KA
chosen
KA is the vehicle registration code used on license plates for cars registered in the German city of Karlsruhe.
-
B.
KA
KA is a postcode area in the United Kingdom covering parts of southwest Scotland, including towns such as Kilmarnock and Irvine.
-
C.
KA
KA is the IATA airline designator for Cathay Dragon, a former Hong Kong-based regional carrier owned by Cathay Pacific.
-
D.
KA
KA is the vehicle registration code for the Indian state of Karnataka.
-
E.
KA
KA is the vehicle registration code used on license plates for the city of Karlovac in Croatia.
- 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_69e24585ab1c81909b2b5065d15805d5 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e2a0e308190941064965346f890 |
completed | April 29, 2026, 3:42 a.m. |
Created at: April 17, 2026, 3:34 p.m.