Triple
T4787899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acelhuate River basin |
E106527
|
entity |
| Predicate | climateRisk |
P44599
|
FINISHED |
| Object | intense rainfall events |
—
|
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: intense rainfall events | Statement: [Acelhuate River basin, climateRisk, intense rainfall events]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: climateRisk Context triple: [Acelhuate River basin, climateRisk, intense rainfall events]
-
A.
hasNaturalHazardRisk
chosen
Indicates that an entity is exposed or subject to potential damage or impact from one or more natural hazards (e.g., earthquakes, floods, storms).
-
B.
AlexanderRisk
Indicates a relationship where Alexander is exposed to, associated with, or responsible for a particular risk or potential adverse outcome.
-
C.
climateChangeIndicator
Indicates that the subject serves as a sign, measure, or signal of the presence, extent, or impact of climate change on the related object or context.
-
D.
climateConsiderations
Indicates that the action or decision takes into account environmental and climate-related factors, such as emissions, resilience, or climate impact.
-
E.
climateChangeEffect
Indicates how climate change influences or alters a particular entity, condition, or process.
- 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_69bd43f4a9588190bf73e20bc27c03cc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65da229c81909c703393f7b9b71d |
completed | March 20, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69bd622e1b408190806c15c61519fc74 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:22 p.m.