Triple
T5961027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alter Zoll |
E132635
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Bonn city centre |
E23133
|
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 city centre | Statement: [Alter Zoll, near, Bonn city centre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bonn city centre Context triple: [Alter Zoll, near, Bonn city centre]
-
A.
Bonn
chosen
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.
-
B.
Museum Mile Bonn
Museum Mile Bonn is a cultural district in Bonn, Germany, known for its dense concentration of major museums and art institutions along a short stretch of the city.
-
C.
Cologne
Cologne is a historic German city on the Rhine River, renowned for its Gothic cathedral, vibrant cultural scene, and status as a major economic and media hub.
-
D.
Bonn UN Campus station
Bonn UN Campus station is a light rail and train stop in Bonn, Germany, serving the United Nations campus and nearby conference and government facilities.
-
E.
Frankfurt skyline
The Frankfurt skyline is a distinctive cityscape dominated by modern high-rise towers and skyscrapers that form one of Europe’s most prominent financial and architectural hubs.
- 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c039fd6dd48190a6020bef38b1be82 |
completed | March 22, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3e8f234819099336503a797e55b |
completed | March 23, 2026, 6:55 a.m. |
Created at: March 22, 2026, 4:02 p.m.