Triple
T17053262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tweants |
E413753
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Denekamps |
E1251073
|
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: Denekamps | Statement: [Tweants, hasDialect, Denekamps]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denekamps Context triple: [Tweants, hasDialect, Denekamps]
-
A.
Denekamp
chosen
Denekamp is a town in the eastern Netherlands that serves as the administrative center of the municipality of Dinkelland in the province of Overijssel.
-
B.
Harskamp
Harskamp is a village in the Dutch province of Gelderland, known for its rural character and proximity to the Hoge Veluwe National Park.
-
C.
Koekamp
Koekamp is a historic green park and deer reserve on the edge of central The Hague in the Netherlands.
-
D.
Kleikamp
Kleikamp is a German surname most notably borne by Gustav Kleikamp, a naval officer who served as a vice admiral in the Kriegsmarine during World War II.
-
E.
Oedekerk
Oedekerk is the surname of Steve Oedekerk, an American comedian, writer, director, and producer known for works like "Kung Pow! Enter the Fist" and contributions to the "Ace Ventura" and "Jimmy Neutron" franchises.
- 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_6a014823d0a8819095491aef9b258971 |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:34 a.m.