Triple
T18381550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seckbacher Landstraße |
E446460
|
entity |
| Predicate | hasStreetAccess |
P959
|
FINISHED |
| Object | Seckbacher 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: Seckbacher Landstraße | Statement: [Seckbacher Landstraße, hasStreetAccess, Seckbacher Landstraße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seckbacher Landstraße Context triple: [Seckbacher Landstraße, hasStreetAccess, Seckbacher Landstraße]
-
A.
Seckbacher Landstraße
chosen
Seckbacher Landstraße is a public transport stop in the Bornheim district of Frankfurt am Main, Germany.
-
B.
Karmarschstraße
Karmarschstraße is a central shopping and traffic street in Hanover, Germany, running through the city center near Kröpcke square.
-
C.
Brienner Straße
Brienner Straße is a historic boulevard in Munich, Germany, known for its neoclassical architecture and its role as one of the city’s grand royal avenues.
-
D.
Wipplingerstraße
Wipplingerstraße is a historic street in Vienna’s city center known for its proximity to major squares, financial institutions, and notable civic buildings.
-
E.
Scharnweberstraße
Scharnweberstraße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north of the city.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5179b60f88190adf39e85375bd11b |
completed | April 19, 2026, 5:57 p.m. |
Created at: April 10, 2026, 10:45 a.m.