Triple
T36939377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neuenmarkt |
E913710
|
entity |
| Predicate | drivingLicenceJurisdiction |
P43185
|
FINISHED |
| Object | Germany |
—
|
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: Germany | Statement: [Neuenmarkt, drivingLicenceJurisdiction, Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drivingLicenceJurisdiction Context triple: [Neuenmarkt, drivingLicenceJurisdiction, Germany]
-
A.
countryOfLicence
Indicates the country that has issued or granted a particular licence.
-
B.
licenceAuthority
Indicates that one entity has the official power or jurisdiction to grant, issue, or regulate licences for another entity or activity.
-
C.
countryOfJurisdiction
Indicates the country whose legal authority or jurisdiction governs or applies to a given entity, action, or arrangement.
-
D.
legalLicenseJurisdiction
chosen
Indicates the legal authority or geographic area under whose laws a particular license is granted, valid, or enforced.
-
E.
stateOfLicense
Indicates the jurisdiction or state that has issued or governs the relevant license.
- F. None of above.
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_69f76e8a6a5c81909c1febf32bf3fe23 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fe174a508190a717d6e962a90fb7 |
completed | May 5, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69f7cf79ddb08190a083405cccc14137 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:13 p.m.