Triple
T3336779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Limmat |
E70156
|
entity |
| Predicate | hasBridge |
P386
|
FINISHED |
| Object | Münsterbrücke |
E352212
|
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: Münsterbrücke | Statement: [Limmat, hasBridge, Münsterbrücke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Münsterbrücke Context triple: [Limmat, hasBridge, Münsterbrücke]
-
A.
Schlossbrücke
Schlossbrücke is a historic bridge in central Berlin that spans the Spree River, connecting Unter den Linden with Museum Island near the Berlin Palace.
-
B.
Rathausbrücke
chosen
Rathausbrücke is a historic pedestrian bridge in central Zurich, Switzerland, spanning the Limmat River near the city hall and the old town.
-
C.
Alte Mainbrücke
Alte Mainbrücke is a historic stone bridge over the Main River in Würzburg, Germany, renowned for its baroque statues and scenic views of the city and Marienberg Fortress.
-
D.
Lombardsbrücke
Lombardsbrücke is a historic bridge in central Hamburg, Germany, spanning the Alster and serving as a key traffic and transport link in the city.
-
E.
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.
- 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1bad97481909359e914d44a1a74 |
completed | March 8, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bb819688190bb6198ac43f48449 |
completed | March 12, 2026, 11:26 p.m. |
Created at: March 8, 2026, 3:12 p.m.