Triple
T15403985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steenwijk |
E368400
|
entity |
| Predicate | roadConnection |
P385
|
FINISHED |
| Object | A32 motorway |
—
|
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: A32 motorway | Statement: [Steenwijk, roadConnection, A32 motorway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A32 motorway Context triple: [Steenwijk, roadConnection, A32 motorway]
-
A.
A32 motorway
chosen
The A32 motorway is a major Dutch highway in the northern Netherlands that connects the cities of Meppel and Leeuwarden, facilitating regional and long-distance traffic.
-
B.
A32 motorway
The A32 motorway is a major Italian highway in the Piedmont region that connects Turin to the Fréjus Road Tunnel and France, serving as a key trans-Alpine transport route.
-
C.
A30 motorway
The A30 motorway is a French autoroute in northeastern France that serves as a regional connector near the border with Luxembourg and Belgium.
-
D.
A33 motorway
The A33 motorway is a German autobahn in North Rhine-Westphalia that serves as a regional connector, linking cities such as Bielefeld with major north–south and east–west highway routes.
-
E.
A31 motorway
The A31 motorway is a major German autobahn running north–south through western Germany, connecting the North Sea coast with the Ruhr area and facilitating regional and long-distance traffic.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8fde64819082ec0c68df305561 |
completed | April 16, 2026, 1:42 a.m. |
Created at: April 10, 2026, 3:19 a.m.