Triple
T7190049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drents Museum extension in Assen |
E167667
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Drenthe |
E171047
|
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: Drenthe | Statement: [Drents Museum extension in Assen, region, Drenthe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drenthe Context triple: [Drents Museum extension in Assen, region, Drenthe]
-
A.
Drenthe
chosen
Drenthe is a rural province in the northeastern Netherlands known for its prehistoric dolmens, heathlands, and forests.
-
B.
Midden-Drenthe
Midden-Drenthe is a rural municipality in the northeastern Netherlands known for its villages, natural landscapes, and location in the province of Drenthe.
-
C.
Overijssel
Overijssel is a province in the eastern Netherlands known for its historic Hanseatic cities, rivers, and varied landscapes of forests, heathlands, and farmland.
-
D.
Flevoland
Flevoland is the youngest Dutch province, largely created through land reclamation from the IJsselmeer in the central Netherlands.
-
E.
Gelderland
Gelderland is a large province in the eastern Netherlands known for its varied landscapes, including the forested Veluwe region and the river areas along the Rhine, Waal, and IJssel.
- 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_69c6888b5248819090499a884ee3ec39 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8ff1ad0819094761f8c73e3e986 |
completed | March 27, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7941d893c81909f3b3bcf827e796d |
completed | April 9, 2026, 11:57 a.m. |
Created at: March 27, 2026, 2:50 p.m.