Triple
T21717085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bahnhofplatz (Zürich) |
E536057
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Bahnhofbrücke |
—
|
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: Bahnhofbrücke | Statement: [Bahnhofplatz (Zürich), near, Bahnhofbrücke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bahnhofbrücke Context triple: [Bahnhofplatz (Zürich), near, Bahnhofbrücke]
-
A.
Bahnhofbrücke
chosen
Bahnhofbrücke is a central bridge in Zurich that connects the main railway station area with the city’s inner districts across the Limmat River.
-
B.
Deutzer Bridge
Deutzer Bridge is a major road and tram bridge spanning the Rhine in Cologne, Germany, connecting the city center with the Deutz district.
-
C.
Boschbrücke
Boschbrücke is a bridge in Munich, Germany, that connects to the Museumsinsel (Museum Island) over the Isar River.
-
D.
Hardbrücke
Hardbrücke is a major road and railway bridge in Zurich, Switzerland, serving as an important traffic artery across the Limmat and nearby rail tracks.
-
E.
Krämerbrücke
Krämerbrücke is a historic medieval bridge in Erfurt, Germany, famous for its densely packed, half-timbered houses built along its span and its role as a former merchants’ street.
- 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.