Triple
T16283648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donau City |
E395330
|
entity |
| Predicate | connectedBy |
P37
|
FINISHED |
| Object | Reichsbrücke |
E393985
|
NE FINISHED |
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: Reichsbrücke | Statement: [Donau City, connectedBy, Reichsbrücke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reichsbrücke Context triple: [Donau City, connectedBy, Reichsbrücke]
-
A.
Hohenzollern Bridge
The Hohenzollern Bridge is a historic railway and pedestrian bridge over the Rhine in Cologne, Germany, famous for its heavy train traffic and thousands of love locks attached to its railings.
-
B.
Hindenburgbrücke
Hindenburgbrücke was the original name of Berlin’s Bösebrücke, a historically significant bridge best known as the first border crossing opened during the fall of the Berlin Wall in 1989.
-
C.
Kaisermühlenbrücke
chosen
Kaisermühlenbrücke is a bridge in the Kaisermühlen district of Vienna, Austria, serving as a key crossing over the Danube.
-
D.
Wuhletalbrücke
Wuhletalbrücke is a bridge in Berlin, Germany, that spans the Wuhle river and serves as part of the city’s transport infrastructure.
-
E.
Bahnhofbrücke
Bahnhofbrücke is a central bridge in Zurich that connects the main railway station area with the city’s inner districts across the Limmat River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24912c5808190a0d9c9f491315068 |
completed | April 17, 2026, 2:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017c8f51c8190b73cdf2834eda57f |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:05 a.m.