Triple
T15320658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhine River Basin |
E366280
|
entity |
| Predicate | floodManagementMeasure |
P25048
|
FINISHED |
| Object | dikes and levees |
—
|
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: dikes and levees | Statement: [Rhine River Basin, floodManagementMeasure, dikes and levees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: floodManagementMeasure Context triple: [Rhine River Basin, floodManagementMeasure, dikes and levees]
-
A.
hasFloodProtectionInfrastructure
chosen
Indicates that there exists built or implemented infrastructure designed to protect against or mitigate flooding for the referenced entity.
-
B.
floodResistanceDesign
Indicates that something is designed or engineered to withstand, mitigate, or remain functional during flooding conditions.
-
C.
floodEvent
Indicates an occurrence of a flooding event affecting a location, time period, or set of impacted entities.
-
D.
riverRegulation
Indicates the management or control of a river’s flow, level, or course through human interventions such as dams, channels, or other regulatory measures.
-
E.
floodGauge
Indicates that a device or measurement point is used to monitor and record the level or intensity of flooding at a specific location.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dd460288190b5c41f0a0aeee949 |
completed | April 16, 2026, 1:39 a.m. |
| PD | Predicate disambiguation | batch_69deca9659f48190b8661df223ce5078 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:16 a.m.