Triple
T5701006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benschop |
E125660
|
entity |
| Predicate | hasWaterManagementFeature |
P62654
|
FINISHED |
| Object | canals |
—
|
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: canals | Statement: [Benschop, hasWaterManagementFeature, canals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWaterManagementFeature Context triple: [Benschop, hasWaterManagementFeature, canals]
-
A.
hasWaterManagementStructure
chosen
Indicates that one entity possesses, contains, or is associated with a built feature used to control, store, convey, or manage water.
-
B.
hasWaterManagementIssue
Indicates that an entity experiences problems or challenges related to the control, distribution, quality, or availability of water.
-
C.
managesWaterFrom
Indicates that one entity is responsible for controlling, directing, or handling water originating from another entity.
-
D.
hasWaterCharacteristics
Indicates that one entity possesses qualities, properties, or behaviors characteristic of water.
-
E.
hasWaterFeatures
Indicates that an entity includes or is associated with water-related elements such as fountains, ponds, streams, or similar features.
- F. None of above.
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_69c0082c96988190b3a6a201edce472a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c024540afc8190aee3760f71ea39c2 |
completed | March 22, 2026, 5:18 p.m. |
| PD | Predicate disambiguation | batch_69c021c2d8bc8190b947c7d1f423d2f3 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:45 p.m.