Triple
T14087443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midden-Drenthe |
E339033
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Bovensmilde |
E671618
|
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: Bovensmilde | Statement: [Midden-Drenthe, containsSettlement, Bovensmilde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bovensmilde Context triple: [Midden-Drenthe, containsSettlement, Bovensmilde]
-
A.
Hoogersmilde
chosen
Hoogersmilde is a village in the Dutch province of Drenthe, known for its proximity to the extensive forests and heathlands of Drents-Friese Wold National Park.
-
B.
Schollevaar
Schollevaar is a residential district in the Dutch municipality of Capelle aan den IJssel, located near Rotterdam in the province of South Holland.
-
C.
Zijdelwaard
Zijdelwaard is a residential neighborhood in the town of Uithoorn in the province of North Holland, Netherlands.
-
D.
Molenwaard
Molenwaard was a former municipality in the Dutch province of South Holland that later became part of the newly formed municipality of Molenlanden.
-
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 (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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ee1ce88819091c983286289337e |
completed | April 14, 2026, 3:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0a5c9948190805c2e687c8809ff |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:21 p.m.