Triple
T32495045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurricane Dorian |
E830496
|
entity |
| Predicate | landfallCategory_Abaco |
P142575
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Hurricane Dorian, landfallCategory_Abaco, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landfallCategory_Abaco Context triple: [Hurricane Dorian, landfallCategory_Abaco, 5]
-
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.
stormTypeAtLandfall
chosen
Indicates the classification or category of a storm at the specific time and location where it makes landfall.
-
D.
landfallHypothesis
Indicates that a proposed explanation or theory is based on where and how something (such as a storm or object) first makes landfall.
-
E.
isLandfallOf
Indicates that a particular event or location is the point or instance where something (typically a storm, cyclone, or similar phenomenon) comes ashore from a body of water onto land.
- 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_69f34920aa4081908d8fb0277414b911 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c8159edc8190b1c87015e0c820e8 |
completed | May 3, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 12:59 a.m.