Triple
T17052974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dinkelland |
E413747
|
entity |
| Predicate | hasAdministrativeCenter |
P1474
|
FINISHED |
| Object |
Denekamp
Denekamp is a town in the eastern Netherlands that serves as the administrative center of the municipality of Dinkelland in the province of Overijssel.
|
E1251073
|
NE FINISHED |
How this triple was built (4 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: Denekamp | Statement: [Dinkelland, hasAdministrativeCenter, Denekamp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denekamp Context triple: [Dinkelland, hasAdministrativeCenter, Denekamp]
-
A.
Koekamp
Koekamp is a historic green park and deer reserve on the edge of central The Hague in the Netherlands.
-
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.
Camperduin
Camperduin is a coastal village in North Holland, Netherlands, historically notable as the namesake of the naval Battle of Camperdown.
-
D.
Reeshof
Reeshof is a large residential district in the western part of Tilburg in the Netherlands, known for its modern housing developments and green spaces.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Denekamp Triple: [Dinkelland, hasAdministrativeCenter, Denekamp]
Generated description
Denekamp is a town in the eastern Netherlands that serves as the administrative center of the municipality of Dinkelland in the province of Overijssel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Denekamp Target entity description: Denekamp is a town in the eastern Netherlands that serves as the administrative center of the municipality of Dinkelland in the province of Overijssel.
-
A.
Koekamp
Koekamp is a historic green park and deer reserve on the edge of central The Hague in the Netherlands.
-
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.
Camperduin
Camperduin is a coastal village in North Holland, Netherlands, historically notable as the namesake of the naval Battle of Camperdown.
-
D.
Reeshof
Reeshof is a large residential district in the western part of Tilburg in the Netherlands, known for its modern housing developments and green spaces.
-
E.
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.
- F. None of above. chosen
Provenance (5 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_6a0139f346f0819094a430a11e361bac |
completed | May 11, 2026, 2:07 a.m. |
| NEDg | Description generation | batch_6a013a9e70c8819081b11ad8db246223 |
completed | May 11, 2026, 2:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a013b6824888190853cf36548507e1b |
completed | May 11, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:34 a.m.