Triple
T10417268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bollenstreek |
E245550
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object | Keukenhof |
E209253
|
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: Keukenhof | Statement: [Bollenstreek, hasAttraction, Keukenhof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keukenhof Context triple: [Bollenstreek, hasAttraction, Keukenhof]
-
A.
Keukenhof
chosen
Keukenhof is one of the world’s largest and most famous flower gardens in the Netherlands, renowned for its spectacular spring displays of tulips and other bulb flowers.
-
B.
Kniephof
Kniephof was a rural Prussian estate village, historically notable as the family property of Otto von Bismarck’s mother, Wilhelmine Mencken.
-
C.
Veldheer Tulip Gardens
Veldheer Tulip Gardens is a seasonal flower farm and tourist attraction in Holland, Michigan, known for its expansive displays of tulips and other spring blooms.
-
D.
Willemspark
Willemspark is an affluent, leafy residential neighborhood in Amsterdam known for its elegant townhouses and proximity to Vondelpark.
-
E.
Amsterdamse Bos
Amsterdamse Bos is a large, forested recreational park on the edge of Amsterdam and Amstelveen, known for its extensive walking and cycling paths, waterways, and cultural events.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea1194e08190a18c3b3002147493 |
completed | April 7, 2026, 11:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fc0dd480819082edcc49a245ad4f |
completed | April 9, 2026, 7:20 p.m. |
Created at: April 6, 2026, 12:11 p.m.