Triple
T22183671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vienna U-Bahn line U3 |
E548234
|
entity |
| Predicate | interchangeStation |
P15892
|
FINISHED |
| Object | Westbahnhof |
—
|
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: Westbahnhof | Statement: [Vienna U-Bahn line U3, interchangeStation, Westbahnhof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Westbahnhof Context triple: [Vienna U-Bahn line U3, interchangeStation, Westbahnhof]
-
A.
Westbahnhof
chosen
Westbahnhof is a major Vienna transport hub that combines one of the city’s main railway stations with an important interchange on the Vienna U-Bahn network.
-
B.
Nordostbahnhof station
Nordostbahnhof station is an underground Nuremberg U-Bahn stop in the city’s northeast, serving the Nordostbahnhof area on line U2.
-
C.
Ostbahnhof railway station
Ostbahnhof railway station is a major Berlin rail hub serving regional, long-distance, and urban S-Bahn services in the eastern part of the city.
-
D.
Ohlsdorf station
Ohlsdorf station is a public transit railway station in Hamburg, Germany, serving as an interchange between S-Bahn, U-Bahn, and local bus services near the Ohlsdorf cemetery.
-
E.
Ostkreuz station
Ostkreuz station is a major railway and S-Bahn interchange in Berlin, Germany, serving as one of the city's busiest public transport hubs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aa75440819084cbe9176b9edb47 |
completed | April 28, 2026, 9:46 p.m. |
Created at: April 16, 2026, 8:35 p.m.