Triple
T37498051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evinos Dam |
E931882
|
entity |
| Predicate | managesFloodRiskIn |
P124979
|
FINISHED |
| Object | Evinos River basin |
—
|
NE NERFINISHED |
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: Evinos River basin | Statement: [Evinos Dam, managesFloodRiskIn, Evinos River basin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: managesFloodRiskIn Context triple: [Evinos Dam, managesFloodRiskIn, Evinos River basin]
-
A.
managesFloodRisk
chosen
Indicates a relationship where one entity takes actions or implements measures to control, reduce, or mitigate the risk and impact of flooding on another entity or area.
-
B.
hasFloodRiskManagementPlan
Indicates that an entity has an established plan or strategy in place for managing and mitigating flood risks.
-
C.
hasFloodRiskRelevance
Indicates that something is pertinent to, affects, or is used in assessing the risk or likelihood of flooding.
-
D.
designedForFloodMitigationOf
Indicates that something is specifically created or configured to reduce, control, or manage flooding affecting a particular entity or area.
-
E.
shareFloodRisk
Indicates that two or more entities are exposed to the same or overlapping risk of flooding.
- 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_69f76ec457a4819094eeb3aed9baac11 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
Created at: May 3, 2026, 4:17 p.m.