Triple
T4008411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Südkreuz station |
E89582
|
entity |
| Predicate | railwayCode |
P18202
|
FINISHED |
| Object | BKS |
—
|
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: BKS | Statement: [Südkreuz station, railwayCode, BKS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railwayCode Context triple: [Südkreuz station, railwayCode, BKS]
-
A.
railroadCodeFor
chosen
Indicates that a specific railroad code is assigned to or used to identify a particular railroad entity.
-
B.
railwayName
Indicates the name assigned to a specific railway or railway line in the relationship.
-
C.
railwayLineNumber
Indicates the identifying number assigned to a specific railway line within a rail network.
-
D.
railwayCompany
Indicates that one entity is a railway company that owns, operates, or manages railway services or infrastructure in relation to another entity.
-
E.
railServiceType
Indicates the specific category or type of rail service that applies to the relationship between the involved entities (e.g., local, express, freight).
- 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_69aed9585e788190bec2d39deba3750f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaec08dc8190a341809059554f84 |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fa6fec81909b1190ecbba61410 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:34 p.m.