Triple
T2930887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronsdorf |
E78956
|
entity |
| Predicate | hasTransportConnection |
P845
|
FINISHED |
| Object | A46 motorway |
E379068
|
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: A46 motorway | Statement: [Ronsdorf, hasTransportConnection, A46 motorway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A46 motorway Context triple: [Ronsdorf, hasTransportConnection, A46 motorway]
-
A.
A46 motorway
chosen
The A46 motorway is a major German autobahn in North Rhine-Westphalia that connects several cities in the Ruhr and Bergisches Land regions.
-
B.
A44 motorway
The A44 motorway is a major Dutch highway in the western Netherlands that connects the Amsterdam region with The Hague and the coastal area near Leiden.
-
C.
A43 motorway
The A43 motorway is a major French highway connecting Lyon to the Fréjus Road Tunnel and the Italian border through the Alpine region.
-
D.
A4 motorway
The A4 motorway is a major German autobahn running east–west across central Germany, connecting cities such as Aachen, Cologne, Erfurt, Jena, and Dresden.
-
E.
A4 motorway
The A4 motorway is a major east–west highway in southern Poland that forms part of the European route E40, connecting key cities such as Wrocław, Katowice, Kraków, and the Ukrainian border.
- 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_69ad8b0d40b481908bc2a5fa2e73c3fb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad980191388190ac2455a7d9867be3 |
completed | March 8, 2026, 3:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b511f37d188190b5604645960e3f11 |
completed | March 14, 2026, 7:44 a.m. |
Created at: March 8, 2026, 2:55 p.m.