Triple
T13489286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S-Bahn line S1 |
E318589
|
entity |
| Predicate | hasPlatformHeight |
P40045
|
FINISHED |
| Object | high platforms compatible with Berlin S-Bahn stock |
—
|
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: high platforms compatible with Berlin S-Bahn stock | Statement: [S-Bahn line S1, hasPlatformHeight, high platforms compatible with Berlin S-Bahn stock]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlatformHeight Context triple: [S-Bahn line S1, hasPlatformHeight, high platforms compatible with Berlin S-Bahn stock]
-
A.
platformHeight
chosen
Indicates the vertical distance or elevation of a platform relative to a defined reference level.
-
B.
hasHeight
Indicates that one entity possesses a specific vertical measurement or stature.
-
C.
hasPylonHeight
Indicates that an entity is associated with a specific height value of a pylon.
-
D.
hasPlatformNumber
Indicates that a location or service is associated with a specific platform identified by a platform number.
-
E.
hasSidePlatformCount
Indicates the number of side platforms associated with an entity, such as a station or stop.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3cbe2081908c6792362c67c8f1 |
completed | April 12, 2026, 2:42 p.m. |
| PD | Predicate disambiguation | batch_69dbae06061881909a6a6032e0507587 |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:43 p.m.