Triple
T27957495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verkehrsministerium |
E703590
|
entity |
| Predicate | erstellt |
P71741
|
FINISHED |
| Object | Verkehrspläne |
—
|
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: Verkehrspläne | Statement: [Verkehrsministerium, erstellt, Verkehrspläne]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: erstellt Context triple: [Verkehrsministerium, erstellt, Verkehrspläne]
-
A.
crea
chosen
Indicates that one entity creates, produces, or brings into existence another entity.
-
B.
createdIn
Indicates that one entity was brought into existence, produced, or originated within the context, location, or time frame specified by another entity.
-
C.
createdTo
Indicates that one entity was brought into existence, produced, or designed specifically for the purpose, use, or function of another entity.
-
D.
erected
Indicates that one entity caused a structure or object to be built or put upright, typically in a deliberate and often permanent manner.
-
E.
createdAround
Indicates that something was brought into existence or produced approximately at a particular time or within an imprecise time period.
- 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_69ef840c8b2c8190946ae9522774ba51 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f63b00473c8190b718fe3d0a717e32 |
completed | May 2, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69f63710d17c819084cfe96e6df334fd |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 7:29 p.m.