Triple
T4986714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ÖBB |
E112020
|
entity |
| Predicate | secondaryHub |
P8522
|
FINISHED |
| Object | Innsbruck Hauptbahnhof |
E480975
|
NE 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: Innsbruck Hauptbahnhof | Statement: [ÖBB, secondaryHub, Innsbruck Hauptbahnhof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Innsbruck Hauptbahnhof Context triple: [ÖBB, secondaryHub, Innsbruck Hauptbahnhof]
-
A.
Innsbruck Hauptbahnhof
chosen
Innsbruck Hauptbahnhof is the main railway station and central transport hub of Innsbruck, Austria, serving regional, national, and international train connections.
-
B.
Salzburg Hauptbahnhof
Salzburg Hauptbahnhof is the main railway station in Salzburg, Austria, serving as a major national and international transport hub.
-
C.
Graz Hauptbahnhof
Graz Hauptbahnhof is the main railway station and central transport hub of the city of Graz in Austria.
-
D.
Linz Central Station
Linz Central Station is the main railway hub of Linz, Austria, serving as a key regional and long-distance transport interchange.
-
E.
Wien Hauptbahnhof
Wien Hauptbahnhof is Vienna’s main railway station and a central national and international transport hub in Austria.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd441be7bc8190b530362d427b97d2 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd727c25bc8190b72f6ddd3772c80a |
completed | March 20, 2026, 4:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c51e6408190aba51a26efddbaff |
completed | March 21, 2026, 1:25 p.m. |
Created at: March 20, 2026, 1:34 p.m.