Triple
T23462144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurricane Katia (2017) |
E569008
|
entity |
| Predicate | landfallEffect |
P152362
|
FINISHED |
| Object | inland 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: inland flooding | Statement: [Hurricane Katia (2017), landfallEffect, inland flooding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landfallEffect Context triple: [Hurricane Katia (2017), landfallEffect, inland flooding]
-
A.
landfallIntensity
Indicates the strength or magnitude of a storm system at the time and location where it first makes landfall.
-
B.
landfallLocation
Indicates the geographic location where a storm or similar weather system first makes landfall.
-
C.
landfallPresentDayLocation
Indicates the present-day geographic location where something (typically a storm or similar event) made landfall.
-
D.
lakeEffect
Indicates a weather phenomenon where a large lake modifies passing air masses, typically enhancing precipitation or altering local atmospheric conditions downwind of the lake.
-
E.
landfallPressure_hPa
Indicates the atmospheric pressure, measured in hectopascals, at the time and location where a storm or cyclone makes landfall.
- 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a69cf7c48190b4d44e500f955b99 |
completed | April 29, 2026, 6:35 a.m. |
| PD | Predicate disambiguation | batch_69f06201d33481909b5fd7b92d03e658 |
completed | April 28, 2026, 7:30 a.m. |
| PDg | Predicate description generation | batch_69f07cbbd7488190ab3c8ae7d0fb68bf |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 17, 2026, 5:54 p.m.