Triple
T17816136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bergsche Maas |
E444845
|
entity |
| Predicate | separationPurpose |
P129011
|
FINISHED |
| Object | to reduce flood risk in the Land of Heusden and Altena |
—
|
LITERAL 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: to reduce flood risk in the Land of Heusden and Altena | Statement: [Bergsche Maas, separationPurpose, to reduce flood risk in the Land of Heusden and Altena]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: separationPurpose Context triple: [Bergsche Maas, separationPurpose, to reduce flood risk in the Land of Heusden and Altena]
-
A.
typeOfSeparation
Indicates the specific manner or category of separation that exists or occurred between entities.
-
B.
separates
Indicates that one entity divides, parts, or keeps other entities apart from each other.
-
C.
separationMethod
Indicates the technique or process used to separate one substance, component, or entity from another.
-
D.
separationProcess
Indicates a process in which components of a mixture or system are divided or isolated from one another based on differing properties or conditions.
-
E.
definedSeparationFrom
Indicates a formally specified distinction or boundary established between one entity and another.
- F. None of above. chosen
Provenance (4 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4887f7d048190b6d813b9f0fab3e7 |
completed | April 19, 2026, 7:47 a.m. |
| PD | Predicate disambiguation | batch_69e3d8de28688190844b65acf6af54e6 |
completed | April 18, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69e3db7704588190a34a422421152173 |
completed | April 18, 2026, 7:28 p.m. |
Created at: April 10, 2026, 10:14 a.m.