Triple
T20725966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kornhausbrücke |
E509435
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Kornhausbrücke (German) |
—
|
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: Kornhausbrücke (German) | Statement: [Kornhausbrücke, hasNameInLanguage, Kornhausbrücke (German)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kornhausbrücke (German) Context triple: [Kornhausbrücke, hasNameInLanguage, Kornhausbrücke (German)]
-
A.
Kornhausbrücke
chosen
Kornhausbrücke is a historic bridge in Bern, Switzerland, spanning the Aare River and connecting the Old City with newer districts.
-
B.
Kornhausbrücke
Kornhausbrücke is a bridge in Zurich, Switzerland, that carries traffic across the Limmat River near the city’s historic center.
-
C.
Boschbrücke
Boschbrücke is a bridge in Munich, Germany, that connects to the Museumsinsel (Museum Island) over the Isar River.
-
D.
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.
-
E.
Knesebeck Bridge
Knesebeck Bridge is a bridge spanning the Teltow Canal in Berlin, Germany, serving as a local road and pedestrian crossing.
- 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_69e0b4c4cc648190b45fda6e2b20af56 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1e7aabc819084f9e9fd45e877fd |
completed | April 21, 2026, 12:16 a.m. |
Created at: April 16, 2026, 12:29 p.m.