Triple
T19146997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stubenring |
E468704
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Schubertring |
—
|
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: Schubertring | Statement: [Stubenring, connectsTo, Schubertring]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schubertring Context triple: [Stubenring, connectsTo, Schubertring]
-
A.
Schubertring
chosen
Schubertring is a section of Vienna’s historic Ringstrasse boulevard, known for its elegant 19th-century architecture and proximity to major cultural landmarks.
-
B.
Geislinger Steige
Geislinger Steige is a steep and historically significant railway incline in Germany, renowned as an early engineering feat of the Fils Valley Railway through the Swabian Jura.
-
C.
Grazer Damm
Grazer Damm is a street in Berlin, Germany, located in the Schöneberg district and forming part of the city’s urban road network.
-
D.
Biebergasse
Biebergasse is a shopping street in central Frankfurt am Main, Germany, known for its retail stores and proximity to the Hauptwache square.
-
E.
Burgenstraße
Burgenstraße is a famous German tourist route known for connecting numerous historic castles and picturesque medieval towns.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e97a79a48190b243553023bf9081 |
completed | April 20, 2026, 8:53 a.m. |
Created at: April 10, 2026, 12:06 p.m.