Triple
T6265036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurricane Maria |
E140391
|
entity |
| Predicate | rainfallImpact |
P69051
|
FINISHED |
| Object | torrential rainfall and catastrophic flooding in Puerto Rico |
—
|
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: torrential rainfall and catastrophic flooding in Puerto Rico | Statement: [Hurricane Maria, rainfallImpact, torrential rainfall and catastrophic flooding in Puerto Rico]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rainfallImpact Context triple: [Hurricane Maria, rainfallImpact, torrential rainfall and catastrophic flooding in Puerto Rico]
-
A.
impactOfDrainage
Indicates the effect or consequences that a drainage system or drainage activity has on a particular target or environment.
-
B.
hasClimateInfluence
Indicates that one entity affects or contributes to the climate characteristics or climate-related conditions of another entity.
-
C.
climateChangeEffect
Indicates how climate change influences or alters a particular entity, condition, or process.
-
D.
primaryRainfallSource
Indicates that one entity is the main origin or contributing source of rainfall for another entity or region.
-
E.
floodConsequence
Indicates the resulting effects, outcomes, or impacts that occur as a consequence of a flood event.
- F. None of above. chosen
Provenance (4 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_69c008cabc4081909723e2547c9d6cc0 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0639e64588190875e4e1e772fb336 |
completed | March 22, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69c05606fb50819082d1a5a91e5030b6 |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c056c965ac8190b938502fa8c74e1b |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:25 p.m.