Triple
T7412659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drenthe |
E171047
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | De Wolden |
E144528
|
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: De Wolden | Statement: [Drenthe, hasMunicipality, De Wolden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Wolden Context triple: [Drenthe, hasMunicipality, De Wolden]
-
A.
De Wolden
chosen
De Wolden is a rural municipality in the northeastern Netherlands known for its scenic landscapes, small villages, and agricultural character.
-
B.
Holwierde
Holwierde is a small village in the province of Groningen in the northern Netherlands, known for its historic terp (artificial dwelling mound) and medieval church.
-
C.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
D.
Weerde
Weerde is a village in the Flemish Brabant province of Belgium, known as a residential suburb within the municipality of Zemst.
-
E.
Wilsede
Wilsede is a small village in the Lüneburg Heath region of Lower Saxony, Germany, known for its well-preserved heathland landscape and traditional car-free character.
- 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_69c68a618bdc81908d8018edadecd1a4 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2c336308190932c14cec5eec25f |
completed | March 27, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8112960d48190a9947146e62daa13 |
completed | March 28, 2026, 5:34 p.m. |
Created at: March 27, 2026, 3:11 p.m.