Triple
T9415078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Spree |
E226997
|
entity |
| Predicate | hasBridge |
P386
|
FINISHED |
| Object | Weidendammer Bridge |
E217729
|
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: Weidendammer Bridge | Statement: [River Spree, hasBridge, Weidendammer Bridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weidendammer Bridge Context triple: [River Spree, hasBridge, Weidendammer Bridge]
-
A.
Weidendammer Bridge
chosen
The Weidendammer Bridge is a historic cast-iron bridge in central Berlin, Germany, known for spanning the Spree River near Friedrichstraße and surviving World War II.
-
B.
Lippe Bridge
Lippe Bridge is a notable bridge in the German town of Lünen that spans the River Lippe and serves as a key local crossing and landmark.
-
C.
Ziegelgraben Bridge
Ziegelgraben Bridge is the movable opening bridge section of the Rügendamm causeway connecting the German island of Rügen to the mainland.
-
D.
Knesebeck Bridge
Knesebeck Bridge is a bridge spanning the Teltow Canal in Berlin, Germany, serving as a local road and pedestrian crossing.
-
E.
Pfaffendorf Bridge
Pfaffendorf Bridge is a historic road and rail bridge over the Rhine River in Koblenz, Germany, connecting the city center with the district of Pfaffendorf.
- 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_69ca84359e7c819091148ba4b670e436 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd68c7bd648190b17f082883c98239 |
completed | April 1, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107baad74819090a746c06feb28ac |
completed | April 4, 2026, 12:44 p.m. |
Created at: March 30, 2026, 7:48 p.m.