Triple
T23798337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jungfernheide |
E588598
|
entity |
| Predicate | railwayStationStructure |
P153599
|
FINISHED |
| Object | through station |
—
|
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: through station | Statement: [Jungfernheide, railwayStationStructure, through station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railwayStationStructure Context triple: [Jungfernheide, railwayStationStructure, through station]
-
A.
railwayStationFeature
Indicates that a railway station possesses or is characterized by a particular feature, facility, or attribute.
-
B.
railStationManager
Indicates that one entity manages, operates, or is responsible for the administration of a particular railway station.
-
C.
isRailwayStation
Indicates that the subject is a railway station, i.e., a facility where trains regularly stop to pick up or drop off passengers and/or freight.
-
D.
railTerminus
Indicates that a railway line or service ends at a particular station or location, which serves as its final terminus.
-
E.
railwayStationStyle
Indicates that one entity is designed, built, or decorated in the architectural style characteristic of a particular railway station.
- F. None of above. chosen
Provenance (4 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_69e25d15db58819092ac1e6791696fd9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c6dea2888190b3ff1c96da5cfefb |
completed | April 29, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69f155fe300481909bd617443228df65 |
completed | April 29, 2026, 12:51 a.m. |
| PDg | Predicate description generation | batch_69f15adb23d88190ac2632299c26a9b3 |
completed | April 29, 2026, 1:11 a.m. |
Created at: April 17, 2026, 7:51 p.m.