Triple
T21252883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurricane Gamma |
E523788
|
entity |
| Predicate | rainfallConsequence |
P69051
|
FINISHED |
| Object | river 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: river flooding | Statement: [Hurricane Gamma, rainfallConsequence, river flooding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rainfallConsequence Context triple: [Hurricane Gamma, rainfallConsequence, river flooding]
-
A.
rainfallImpact
chosen
Indicates how rainfall influences or alters the condition, behavior, or outcome of a target entity or process.
-
B.
floodConsequence
Indicates the resulting effects, outcomes, or impacts that occur as a consequence of a flood event.
-
C.
rainfallLevel
Indicates the amount or intensity of rainfall occurring at a given place and time.
-
D.
impactOfDrainage
Indicates the effect or consequences that a drainage system or drainage activity has on a particular target or environment.
-
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_69e0b5146c108190adc9adb73e90abff |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7359f5b408190b951adddba83c97a |
completed | April 21, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69e5f61239708190ab7b3c83ae848a0d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:57 p.m.