Triple
T18325823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dagstuhl |
E439003
|
entity |
| Predicate | hasVehicleRegistrationCode |
P1173
|
FINISHED |
| Object | MZG |
—
|
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: MZG | Statement: [Dagstuhl, hasVehicleRegistrationCode, MZG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MZG Context triple: [Dagstuhl, hasVehicleRegistrationCode, MZG]
-
A.
MZG
chosen
MZG is the vehicle registration code used on license plates for vehicles registered in the town of Wadern in Germany.
-
B.
MZG
MZG is the IATA airport code for Penghu Airport, which serves the Penghu (Pescadores) archipelago in Taiwan.
-
C.
ZMG
ZMG is the National Rail station code assigned to Monument station in Newcastle upon Tyne, England.
-
D.
MZ
MZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Mozambique.
-
E.
MZ
MZ is the vehicle registration code for the Mainz region in Germany, which includes Ingelheim am Rhein.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aaa66ac819082ec718e8329e0cc |
completed | April 19, 2026, 5:02 p.m. |
Created at: April 10, 2026, 10:36 a.m.