Triple
T17161832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rathenauplatz station |
E416498
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Rathenauplatz |
—
|
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: Rathenauplatz | Statement: [Rathenauplatz station, namedAfter, Rathenauplatz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rathenauplatz Context triple: [Rathenauplatz station, namedAfter, Rathenauplatz]
-
A.
Rathenauplatz
chosen
Rathenauplatz is an underground rapid transit station in Nuremberg, Germany, serving as part of the city’s U-Bahn network.
-
B.
Schlossplatz
Schlossplatz is a historic central square in Berlin that once fronted the Berlin City Palace and now serves as the site of the reconstructed Humboldt Forum.
-
C.
Schlossplatz
Schlossplatz is the central historic square of Wiesbaden, Germany, surrounded by notable buildings such as the city palace and town hall and serving as a key venue for public events.
-
D.
Schlossplatz
Schlossplatz is the central and largest square in Stuttgart, Germany, known for its historic architecture, gardens, and role as a major cultural and social gathering place.
-
E.
Europaplatz
Europaplatz is a public square in Munich, Germany, known as a local transport and urban hub within 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f91258648190a40396067ba5ecd3 |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 5:37 a.m.