Triple
T19507140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Velp (Gelderland) |
E488051
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Rheden |
—
|
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: Rheden | Statement: [Velp (Gelderland), nearbySettlement, Rheden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rheden Context triple: [Velp (Gelderland), nearbySettlement, Rheden]
-
A.
Rheden
chosen
Rheden is a municipality in the province of Gelderland in the eastern Netherlands, known for its scenic location along the River IJssel and near the Veluwezoom National Park.
-
B.
Hawarden
Hawarden is a village in Flintshire, Wales, historically notable as the longtime home and final residence of British Prime Minister William Ewart Gladstone.
-
C.
Wrey
Wrey is a variant spelling of the surname Wray, which is of English origin.
-
D.
Prestatyn
Prestatyn is a seaside town in Denbighshire, North Wales, known for its sandy beaches, coastal tourism, and position near the Irish Sea.
-
E.
Trawden
Trawden is a rural village and civil parish in Lancashire, England, known for its moorland scenery and former textile mill heritage.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e635130e708190bb3d70e1abbade2a |
completed | April 20, 2026, 2:15 p.m. |
Created at: April 10, 2026, 1:40 p.m.