Triple
T21236333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bundesautobahn 27 |
E523351
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Walsrode |
—
|
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: Walsrode | Statement: [Bundesautobahn 27, passesNear, Walsrode]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walsrode Context triple: [Bundesautobahn 27, passesNear, Walsrode]
-
A.
Walsrode
chosen
Walsrode is a small town in Lower Saxony, Germany, known for its location in the Lüneburg Heath region and its large bird park, the Weltvogelpark Walsrode.
-
B.
Werdohl
Werdohl is a town in the Märkischer Kreis district of North Rhine-Westphalia, Germany, known for its metalworking industry and location in the hilly Sauerland region.
-
C.
Radevormwald
Radevormwald is a small historic town in North Rhine-Westphalia, western Germany, known for its hilly Bergisches Land landscape and traditional textile and metalworking industries.
-
D.
Waldbröl
Waldbröl is a small town in North Rhine-Westphalia, Germany, known for its rural setting in the Bergisches Land region.
-
E.
Rudolfswerth
Rudolfswerth is the former German name for Novo Mesto, a historic town in southeastern Slovenia known for its medieval heritage and role as a regional cultural center.
- 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_69e0b513b89c81908b27147e91368db2 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e735202c7481909c642ddaafb40671 |
completed | April 21, 2026, 8:28 a.m. |
Created at: April 16, 2026, 3:46 p.m.