Triple
T4357427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kop van Overijssel |
E98583
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Vollenhove |
E526700
|
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: Vollenhove | Statement: [Kop van Overijssel, contains, Vollenhove]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vollenhove Context triple: [Kop van Overijssel, contains, Vollenhove]
-
A.
Vollenhove
chosen
Vollenhove is a historic town in the Dutch province of Overijssel, known for its former status as a regional administrative and noble center with several notable estates and churches.
-
B.
Veldhoven
Veldhoven is a town and municipality in the southern Netherlands, located near Eindhoven in the province of North Brabant.
-
C.
Hansweert
Hansweert is a small village in the Dutch province of Zeeland, known historically as a canal and shipping hub along the Western Scheldt.
-
D.
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.
-
E.
Bodegraven
Bodegraven is a town in the Dutch province of South Holland, known for its cheese production and location in the Green Heart region of the Netherlands.
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351c68a588190ba14a298afacb1dc |
completed | March 12, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d5a92795cc819087578d02c2c791e4 |
completed | April 8, 2026, 1:02 a.m. |
Created at: March 12, 2026, 11:16 p.m.