Triple
T38561810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milbertshofen-Am Hart |
E928094
|
entity |
| Predicate | hasUbahnStation |
P28508
|
FINISHED |
| Object | Milbertshofen station |
—
|
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: Milbertshofen station | Statement: [Milbertshofen-Am Hart, hasUbahnStation, Milbertshofen station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUbahnStation Context triple: [Milbertshofen-Am Hart, hasUbahnStation, Milbertshofen station]
-
A.
hasUBahnService
Indicates that a location or facility is served by, or has access to, an underground metro (U-Bahn) transit line.
-
B.
uBahnStationOpened
Indicates that a particular U-Bahn (subway/metro) station has been opened and placed into service.
-
C.
hasRailwayStationOn
Indicates that a railway station is located on or serves a particular railway line, route, or network segment.
-
D.
sBahnStationOpened
Indicates that an S-Bahn station was officially opened or began operation at a certain time.
-
E.
subwayStation
chosen
Indicates that one entity is a subway station associated with, located in, or serving the other entity.
- 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_69f76eb8d1808190a588af29d8b266d6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.