Triple
T22317095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gallus |
E551673
|
entity |
| Predicate | traversedBy |
P225
|
FINISHED |
| Object | Mainzer 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: Mainzer Landstraße | Statement: [Gallus, traversedBy, Mainzer Landstraße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mainzer Landstraße Context triple: [Gallus, traversedBy, Mainzer Landstraße]
-
A.
Mainzer Landstraße
chosen
Mainzer Landstraße is a major thoroughfare in Frankfurt am Main, Germany, running west from the city center and lined with offices, shops, and transport links.
-
B.
Perusastraße
Perusastraße is a street in central Munich, Germany, located near Odeonsplatz in the historic city center.
-
C.
Frankfurter Allee
Frankfurter Allee is a major street and transport hub in Berlin, Germany, served by both U-Bahn and S-Bahn lines.
-
D.
Kurfürstenallee
Kurfürstenallee is a notable avenue in the Bonn district of Bad Godesberg, known for its upscale residential character and historic villas.
-
E.
Berliner Straße
Berliner Straße is a central street in the historic city of Görlitz, Germany, known for its traditional urban architecture and role as a key thoroughfare near the Obermarkt.
- 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_69e11e4776588190abb21e5cea79973f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157535eb48190adbefbb619cb5fcd |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:42 p.m.