Triple
T11094245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Middle Level Main Drain |
E262333
|
entity |
| Predicate | riskManaged |
P47303
|
FINISHED |
| Object | fluvial flooding |
—
|
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: fluvial flooding | Statement: [Middle Level Main Drain, riskManaged, fluvial flooding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: riskManaged Context triple: [Middle Level Main Drain, riskManaged, fluvial flooding]
-
A.
riskManagedBy
Indicates that the potential or identified risk is controlled, mitigated, or overseen through the actions, policies, or responsibilities of a specified managing entity.
-
B.
riskManagement
Indicates the implementation of strategies and actions to identify, assess, and mitigate potential risks associated with an entity or activity.
-
C.
riskTypesManaged
chosen
Indicates that one entity is responsible for handling, controlling, or overseeing specific categories of risk associated with another entity or context.
-
D.
riskBased
Indicates that something is determined, prioritized, or managed according to the level or assessment of risk involved.
-
E.
riskBasis
Indicates the underlying factor, condition, or rationale that forms the basis for assessing or assigning risk in a given context.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a0783e88190aae3d461730c2d70 |
completed | April 9, 2026, 12:22 p.m. |
| PD | Predicate disambiguation | batch_69d744185a5881909ba4cf151d1798ec |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:27 p.m.