Triple
T22414439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maashorst |
E554080
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Volkel |
—
|
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: Volkel | Statement: [Maashorst, contains, Volkel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Volkel Context triple: [Maashorst, contains, Volkel]
-
A.
Volkel
chosen
Volkel is a village in the Dutch province of North Brabant, best known for hosting the Royal Netherlands Air Force base Volkel Air Base.
-
B.
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.
-
C.
Tienhoven
Tienhoven is a small village in the Dutch province of Utrecht, known for its rural landscape and location within the municipality of Stichtse Vecht.
-
D.
Hellendoorn
Hellendoorn is a municipality in the Dutch province of Overijssel, known for its scenic landscapes, including the Sallandse Heuvelrug National Park, and its historic villages.
-
E.
Veenendaal
Veenendaal is a Dutch town and municipality in the central Netherlands, known for its location between Utrecht and the Veluwe and its mix of residential, commercial, and light industrial areas.
- 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15945486081908eb3a7b0441c0ef1 |
completed | April 29, 2026, 1:05 a.m. |
Created at: April 16, 2026, 8:46 p.m.