Triple
T17053095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tubbergen |
E413749
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Dinkelland |
E413747
|
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: Dinkelland | Statement: [Tubbergen, hasNeighboringMunicipality, Dinkelland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dinkelland Context triple: [Tubbergen, hasNeighboringMunicipality, Dinkelland]
-
A.
Dinkelland
chosen
Dinkelland is a rural municipality in the eastern Netherlands, located in the Twente region of the province of Overijssel near the German border.
-
B.
Kleef
Kleef is a historical territory in the Holy Roman Empire, centered on the town of Kleve in present-day western Germany.
-
C.
’s-Gravenland
’s-Gravenland is a residential district in the Dutch city of Capelle aan den IJssel, located in the province of South Holland.
-
D.
Hoogblokland
Hoogblokland is a small village in the Dutch province of Utrecht, known for its rural character and traditional polder landscape.
-
E.
Land van Heusden
Land van Heusden is a historic region in the northern part of the Dutch province of North Brabant, centered around the town of Heusden and known for its medieval fortifications and river landscapes.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3daa491008190ad013ee37532aa51 |
completed | April 18, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fbb89fc81908d2355d36ea2469e |
completed | May 11, 2026, 4:48 a.m. |
Created at: April 10, 2026, 5:34 a.m.