Triple
T18377907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fleischbrücke |
E446363
|
entity |
| Predicate | hasLocaleName |
P72248
|
FINISHED |
| Object | Fleischbrücke |
—
|
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: Fleischbrücke | Statement: [Fleischbrücke, hasLocaleName, Fleischbrücke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fleischbrücke Context triple: [Fleischbrücke, hasLocaleName, Fleischbrücke]
-
A.
Fleischbrücke
chosen
Fleischbrücke is a historic stone arch bridge in Nuremberg, Germany, renowned for its Renaissance architecture and role as a key crossing in the city center.
-
B.
Bösebrücke
Bösebrücke is a historic Berlin bridge best known as the site of the first border crossing opened during the fall of the Berlin Wall on November 9, 1989.
-
C.
Friedensbrücke
Friedensbrücke is a notable bridge in the city of Plauen, Germany, recognized as a local landmark and important traffic connection.
-
D.
Tuchlauben
Tuchlauben is a historic street in Vienna’s city center, known for its upscale shops and proximity to major landmarks in the old town.
-
E.
Draubrücke
Draubrücke is a bridge in the Austrian city of Villach that spans the Drava (Drau) River and serves as an important local traffic connection.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5179919c881908d55ea24f93c5827 |
completed | April 19, 2026, 5:57 p.m. |
Created at: April 10, 2026, 10:45 a.m.