Triple
T15812546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flemish Ardennes |
E383389
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Koppenberg |
—
|
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: Koppenberg | Statement: [Flemish Ardennes, contains, Koppenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koppenberg Context triple: [Flemish Ardennes, contains, Koppenberg]
-
A.
Koppenberg
chosen
The Koppenberg is a short but brutally steep cobbled hill in the Flemish Ardennes, famed as one of the most iconic and decisive climbs in professional cycling.
-
B.
Kneuterdijk
Kneuterdijk is a historic street in the center of The Hague, Netherlands, known for its prominent governmental and royal buildings.
-
C.
Kortenaken
Kortenaken is a rural municipality in the Flemish Brabant province of Belgium, known for its agricultural landscape and small village communities.
-
D.
Koenekamp
Koenekamp is a surname most notably associated with Fred J. Koenekamp, an American cinematographer known for his work on films such as "Patton" and "The Towering Inferno."
-
E.
Koekamp
Koekamp is a historic green park and deer reserve on the edge of central The Hague in the Netherlands.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a069bc8190bf9504dc6c998fa2 |
completed | April 16, 2026, 11:14 a.m. |
Created at: April 10, 2026, 4:49 a.m.