Triple
T17389348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kochergasse |
E422773
|
entity |
| Predicate | hasMotorVehicleUse |
P111701
|
FINISHED |
| Object | yes |
—
|
LITERAL 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: yes | Statement: [Kochergasse, hasMotorVehicleUse, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMotorVehicleUse Context triple: [Kochergasse, hasMotorVehicleUse, yes]
-
A.
hasVehicularUse
chosen
Indicates that something is used for, intended for, or associated with operation by vehicles or vehicular traffic.
-
B.
usedAsVehicleFor
Indicates that one entity functions as a means of transportation or conveyance for another entity.
-
C.
motorizedUse
Indicates that an entity is used or operated by means of a motor or engine, rather than by human or animal power.
-
D.
hasMotorVehicleAccess
Indicates that an entity is permitted to use or operate a motor vehicle within a specified area, context, or under certain conditions.
-
E.
hasVehicle
Indicates that one entity possesses, owns, or is assigned a vehicle.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a8c718c81909cb20749aaf12897 |
completed | April 19, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_69e3b02ac8688190a7182f1b2151d721 |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:45 a.m.