Triple
T13861907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Museumsinsel (Munich) |
E333217
|
entity |
| Predicate | hasBridgeConnection |
P845
|
FINISHED |
| Object | Ludwigsbrücke |
E520065
|
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: Ludwigsbrücke | Statement: [Museumsinsel (Munich), hasBridgeConnection, Ludwigsbrücke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ludwigsbrücke Context triple: [Museumsinsel (Munich), hasBridgeConnection, Ludwigsbrücke]
-
A.
Ludwigsbrücke
chosen
Ludwigsbrücke is a historic bridge in Munich, Germany, spanning the Isar River and connecting the city center with the eastern districts.
-
B.
Marienbrücke
Marienbrücke is a famous pedestrian bridge near Neuschwanstein Castle in Bavaria, Germany, renowned for its panoramic views of the castle and the surrounding gorge.
-
C.
Luitpoldbrücke
Luitpoldbrücke is a historic bridge in Munich that spans the Isar River and connects key parts of the city along Prinzregentenstraße.
-
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.
Hardbrücke
Hardbrücke is a major road and railway bridge in Zurich, Switzerland, serving as an important traffic artery across the Limmat and nearby rail tracks.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c20db88190acb842748aa01039 |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0ff1f78819088ae58f703e2c9ff |
completed | May 3, 2026, 9:41 p.m. |
Created at: April 9, 2026, 10:14 p.m.