Triple
T22153969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berkelland |
E547484
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Oost Gelre |
—
|
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: Oost Gelre | Statement: [Berkelland, hasNeighboringMunicipality, Oost Gelre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oost Gelre Context triple: [Berkelland, hasNeighboringMunicipality, Oost Gelre]
-
A.
Oost Gelre
chosen
Oost Gelre is a municipality in the eastern Netherlands, located in the Achterhoek region of the province of Gelderland.
-
B.
Sappemeer
Sappemeer is a town in the province of Groningen in the northeastern Netherlands, historically known for its peat colonies and waterways.
-
C.
Oosterzele
Oosterzele is a municipality in the Belgian province of East Flanders, known for its rural character and small villages.
-
D.
Vechta
Vechta is a town in Lower Saxony, Germany, known for its historical significance, university, and annual Stoppelmarkt fair.
-
E.
Noordoewer
Noordoewer is a small border town in southern Namibia on the Orange River, serving as a key road crossing point into South Africa.
- 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_69f129f6d5b88190badee2e515a3b633 |
completed | April 28, 2026, 9:43 p.m. |
Created at: April 16, 2026, 8:33 p.m.