Triple
T20098983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zollernalbkreis |
E496480
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | ZW |
—
|
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: ZW | Statement: [Zollernalbkreis, vehicleRegistrationCode, ZW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZW Context triple: [Zollernalbkreis, vehicleRegistrationCode, ZW]
-
A.
ZW
chosen
ZW is the ISO 3166-1 alpha-2 country code for Zimbabwe, a landlocked country in southern Africa.
-
B.
ZWN
ZWN is a former currency code used to denote an early version of the Zimbabwean dollar in international financial and foreign exchange contexts.
-
C.
WZ
WZ is the IATA airline designator assigned to Red Wings Airlines, a Russian passenger carrier.
-
D.
ZE
ZE is the postcode area covering the Shetland Islands in Scotland.
-
E.
ŻW
ŻW is the abbreviated name of Poland’s Military Gendarmerie, the armed forces’ military police force responsible for law enforcement and security within the Polish military.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666e306c81909c0ef617e0f6fccf |
completed | April 20, 2026, 5:46 p.m. |
Created at: April 11, 2026, 11:26 p.m.