Triple
T15670684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ardennes classics |
E377302
|
entity |
| Predicate | notableClimb |
P6286
|
FINISHED |
| Object | Cauberg |
E380672
|
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: Cauberg | Statement: [Ardennes classics, notableClimb, Cauberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cauberg Context triple: [Ardennes classics, notableClimb, Cauberg]
-
A.
Cauberg
chosen
Cauberg is a famous short but steep hill in Valkenburg, the Netherlands, renowned as a decisive climb in professional road cycling races.
-
B.
Nuweveldberge
Nuweveldberge is a mountain range in South Africa that forms part of the Great Escarpment and is known for its rugged terrain and semi-arid Karoo landscapes.
-
C.
Vaalserberg
Vaalserberg is a hill in the southeastern Netherlands known as the country's highest point and the location of the tripoint where the borders of the Netherlands, Germany, and Belgium meet.
-
D.
Diedenbergen
Diedenbergen is a district of the town Hofheim am Taunus in the German state of Hesse.
-
E.
Bergschenhoek
Bergschenhoek is a town in the Dutch province of South Holland that serves as the administrative center of the municipality of Lansingerland.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f1254508190a77a16b7bfd299ad |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff67a431208190b7e0d1eefd55504a |
completed | May 9, 2026, 4:58 p.m. |
Created at: April 10, 2026, 4:16 a.m.