Triple
T6487822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beuel |
E146557
|
entity |
| Predicate | hasNeighbour |
P5707
|
FINISHED |
| Object | Bonn-Zentrum |
E558153
|
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: Bonn-Zentrum | Statement: [Beuel, hasNeighbour, Bonn-Zentrum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bonn-Zentrum Context triple: [Beuel, hasNeighbour, Bonn-Zentrum]
-
A.
district Bonn-Zentrum
chosen
District Bonn-Zentrum is the central urban district of Bonn, Germany, encompassing the city’s historic core, key cultural sites, and main commercial areas.
-
B.
Bockenheim
Bockenheim is a lively urban district of Frankfurt am Main known for its mix of residential areas, shops, and university facilities.
-
C.
Beuel-Mitte
Beuel-Mitte is the central district of the Beuel borough in Bonn, Germany, serving as its main urban and commercial area.
-
D.
Bonn
Bonn is a historic German city on the Rhine River, best known for being the birthplace of Ludwig van Beethoven and the former seat of the federal government before reunification.
-
E.
Bonn-Bad Godesberg station
Bonn-Bad Godesberg station is a railway station in the Bad Godesberg district of Bonn, Germany, serving regional and local train services.
- 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_69c0090158c08190af0df9a2348d2d52 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a96a4048190a28dee5fd9258486 |
completed | March 22, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c65fd88d7c8190a98b7a48d49280c3 |
completed | March 27, 2026, 10:45 a.m. |
Created at: March 22, 2026, 4:52 p.m.