Triple
T33971570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Railway (Westbahn) |
E871010
|
entity |
| Predicate | connectsCityWithRegion |
P180202
|
FINISHED |
| Object | Vienna to western Austria |
—
|
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: Vienna to western Austria | Statement: [Western Railway (Westbahn), connectsCityWithRegion, Vienna to western Austria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsCityWithRegion Context triple: [Western Railway (Westbahn), connectsCityWithRegion, Vienna to western Austria]
-
A.
linkedCityRegion
Indicates that a city is associated with, belongs to, or is administratively connected to a specific region.
-
B.
connectsRegionalCity
chosen
Indicates a relationship where one entity serves as a link or transport route between a regional city and another location.
-
C.
connectsProvinceOrRegion
Indicates that one entity serves to link or provide a connection between a specific province or region and another entity.
-
D.
cityServedRegion
Indicates that a city provides services to, or functions as an administrative or economic center for, a specified region.
-
E.
connectsCity
Indicates a relationship where one entity serves as a link or route that joins or provides direct access between two cities.
- 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_69f3499da0188190ab1a4ff06fb06a2a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff3b32ee148190a3ba3b7600943fef |
completed | May 9, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69ff3a238af88190a2c2245e30299e48 |
completed | May 9, 2026, 1:44 p.m. |
Created at: May 1, 2026, 1:50 a.m.