Triple
T6689007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waddinxveen |
E152575
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Boskoop |
E214895
|
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: Boskoop | Statement: [Waddinxveen, borderedBy, Boskoop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boskoop Context triple: [Waddinxveen, borderedBy, Boskoop]
-
A.
Boskoop
chosen
Boskoop is a Dutch town historically renowned as a major center of tree and nursery cultivation.
-
B.
Koppenberg
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.
-
C.
Beinsdorp
Beinsdorp is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
-
D.
Schoorl
Schoorl is a coastal village in North Holland, the Netherlands, known for its extensive dune landscapes and as the birthplace of Renaissance painter Jan van Scorel.
-
E.
Kaatsheuvel
Kaatsheuvel is a Dutch village best known as the home of the Efteling theme park, one of Europe’s largest and oldest amusement parks.
- 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_69c6880687b08190805278b504d1c92c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6b14feb28819097bc157df8a2f96e |
completed | March 27, 2026, 4:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9493bf8088190bc59dd0e36d16a20 |
completed | March 29, 2026, 3:46 p.m. |
Created at: March 27, 2026, 2:04 p.m.