Triple
T22183405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wien Mitte – Landstraße station |
E548228
|
entity |
| Predicate | servesArea |
P82
|
FINISHED |
| Object | Landstraße |
—
|
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: Landstraße | Statement: [Wien Mitte – Landstraße station, servesArea, Landstraße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Landstraße Context triple: [Wien Mitte – Landstraße station, servesArea, Landstraße]
-
A.
Landstraße
chosen
Landstraße is Vienna’s 3rd municipal district, a central urban area known for its mix of historic architecture, embassies, and major transport hubs.
-
B.
Torstraße
Torstraße is a major street in central Berlin, Germany, known for its mix of historic architecture, shops, restaurants, and nightlife.
-
C.
Salzstraße
Salzstraße is a historic street in Münster, Germany, known as one of the city’s traditional merchant and baroque thoroughfares.
-
D.
Brüderstraße
Brüderstraße is a historic street in the old town of Görlitz, Germany, known for its well-preserved architecture and connection to the central Obermarkt square.
-
E.
Straß
Straß is a locality within the municipality of Eugendorf in the Austrian state of Salzburg.
- 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_69f12aa687808190b9959d4e91db948a |
completed | April 28, 2026, 9:46 p.m. |
Created at: April 16, 2026, 8:35 p.m.