Triple
T21717087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bahnhofplatz (Zürich) |
E536057
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Bahnhofplatz@en |
—
|
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: Bahnhofplatz@en | Statement: [Bahnhofplatz (Zürich), hasNameInLanguage, Bahnhofplatz@en]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bahnhofplatz@en Context triple: [Bahnhofplatz (Zürich), hasNameInLanguage, Bahnhofplatz@en]
-
A.
Bahnhofplatz (German)
chosen
Bahnhofplatz is the central square in front of Zurich’s main railway station, serving as a major hub for public transport and city activity.
-
B.
Rathenauplatz station
Rathenauplatz station is an underground rapid transit stop on the Nuremberg U-Bahn network in Nuremberg, Germany.
-
C.
Merianplatz station
Merianplatz station is an underground metro stop on Frankfurt am Main’s U4 line, serving the Bornheim district near Berger Straße.
-
D.
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.
-
E.
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.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd96babdc81908226ec043dbe7431 |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:47 p.m.