Triple
T29618563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Munich Hauptbahnhof |
E754930
|
entity |
| Predicate | hasSBahnStation |
P161850
|
FINISHED |
| Object | München Hauptbahnhof (S-Bahn) |
—
|
NE NERFINISHED |
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: München Hauptbahnhof (S-Bahn) | Statement: [Munich Hauptbahnhof, hasSBahnStation, München Hauptbahnhof (S-Bahn)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSBahnStation Context triple: [Munich Hauptbahnhof, hasSBahnStation, München Hauptbahnhof (S-Bahn)]
-
A.
hasUBahnService
Indicates that a location or facility is served by, or has access to, an underground metro (U-Bahn) transit line.
-
B.
s-BahnLine
chosen
Indicates that one entity is an S-Bahn (urban rapid transit) railway line associated with or serving another entity (such as a city, station, or network).
-
C.
sBahnStationOpened
Indicates that an S-Bahn station was officially opened or began operation at a certain time.
-
D.
hasRailStation
Indicates that one entity possesses, contains, or is served by a rail station.
-
E.
hasRailwayStationOn
Indicates that a railway station is located on or serves a particular railway line, route, or network segment.
- 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_69f0ef86b6ec8190a87fff07fd983b1e |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f66e227eec8190a5e5a8de8359875b |
completed | May 2, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 6:33 p.m.