Triple
T22155099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lemelerveld |
E547514
|
entity |
| Predicate | locatedInMunicipality |
P40
|
FINISHED |
| Object | Dalfsen |
—
|
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: Dalfsen | Statement: [Lemelerveld, locatedInMunicipality, Dalfsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dalfsen Context triple: [Lemelerveld, locatedInMunicipality, Dalfsen]
-
A.
Dalfsen
chosen
Dalfsen is a town and municipality in the Dutch province of Overijssel, known for its rural landscape along the river Vecht.
-
B.
Nijverdal
Nijverdal is a town in the Dutch province of Overijssel known as a gateway to the Sallandse Heuvelrug National Park and its surrounding natural landscapes.
-
C.
Vinkeveen
Vinkeveen is a Dutch village in the province of Utrecht, best known for its lakes and recreational water activities.
-
D.
Assendelft
Assendelft is a historic village in North Holland, Netherlands, known as one of the country’s oldest settlements and for its association with the painter Pieter Saenredam.
-
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 (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_69e11e3b52088190ad5df386d01eb2fb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129f7d034819092ecf9682e549c9a |
completed | April 28, 2026, 9:43 p.m. |
Created at: April 16, 2026, 8:33 p.m.