Triple
T6673060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unter den Linden U-Bahn station |
E151778
|
entity |
| Predicate | replacedStationFunctionOf |
P20874
|
FINISHED |
| Object | Französische Straße U-Bahn 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: Französische Straße U-Bahn station | Statement: [Unter den Linden U-Bahn station, replacedStationFunctionOf, Französische Straße U-Bahn station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replacedStationFunctionOf Context triple: [Unter den Linden U-Bahn station, replacedStationFunctionOf, Französische Straße U-Bahn station]
-
A.
replacedStation
chosen
Indicates that one station has taken the place of another station, typically succeeding it in function, service, or location.
-
B.
placedBy
Indicates that one entity was positioned, set, or put in a location or context by another entity.
-
C.
replacedRollingStock
Indicates that one rolling stock asset has been substituted or superseded by another in service or operational use.
-
D.
formerStationNameFor
Indicates that one station name was previously used as the official name for another station.
-
E.
associatedStation
Indicates a relationship where one entity is linked or connected to a particular station as its relevant or related station.
- 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_69c687f830bc81909eb8b04dbb8450b1 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ce738fe88190a5557900efeec7ec |
completed | March 27, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69c6ad09974c81908784300ae218961f |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:03 p.m.