Triple
T17761875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Opernplatz |
E443396
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Goethestraße |
—
|
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: Goethestraße | Statement: [Opernplatz, adjacentTo, Goethestraße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goethestraße Context triple: [Opernplatz, adjacentTo, Goethestraße]
-
A.
Goethestraße
chosen
Goethestraße is a street in the vicinity of Steintorplatz, likely situated in an urban German setting and named after the writer Johann Wolfgang von Goethe.
-
B.
Lothringerstraße
Lothringerstraße is a central street in Vienna, Austria, located near major landmarks such as Karlsplatz and the Ringstrasse.
-
C.
Gustav-Adolf-Straße
Gustav-Adolf-Straße is a subway station that serves as a terminus on Munich’s U3 line.
-
D.
Elbestraße
Elbestraße is a street in Frankfurt am Main’s central Bahnhofsviertel district, known for its nightlife, diverse culture, and proximity to the main train station.
-
E.
Münchener Straße
Münchener Straße is a well-known street in Frankfurt’s Bahnhofsviertel district, noted for its dense mix of restaurants, shops, and nightlife near the main train station.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485f887ac81908c896a50175692b9 |
completed | April 19, 2026, 7:36 a.m. |
Created at: April 10, 2026, 10:11 a.m.