Triple
T8126397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lek River |
E189739
|
entity |
| Predicate | floodManagementRole |
P25111
|
FINISHED |
| Object | important for Dutch flood control system |
—
|
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: important for Dutch flood control system | Statement: [Lek River, floodManagementRole, important for Dutch flood control system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: floodManagementRole Context triple: [Lek River, floodManagementRole, important for Dutch flood control system]
-
A.
hydrologyRole
Indicates the specific function, responsibility, or involvement an entity has within hydrological processes, studies, or water-related systems.
-
B.
waterInfrastructureRole
chosen
Indicates the functional role or involvement an entity has in the provision, management, or operation of water infrastructure systems.
-
C.
drainageRole
Indicates the functional role an entity plays in a drainage system, such as directing, collecting, or removing water or other fluids.
-
D.
floodEvent
Indicates an occurrence of a flooding event affecting a location, time period, or set of impacted entities.
-
E.
floodCause
Indicates that one entity is the cause or source of a flood affecting another entity or area.
- 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_69ca82bb74848190afb1f18640632c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4c4c2e388190b86854f8b1765e61 |
completed | March 31, 2026, 4:23 a.m. |
| PD | Predicate disambiguation | batch_69cb3696379c8190a20965e59ed8f370 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:34 p.m.