Triple
T9914357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurricane Dorian |
E185829
|
entity |
| Predicate | firstCategory5LandfallDate |
P91130
|
FINISHED |
| Object | 2019-09-01 |
—
|
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: 2019-09-01 | Statement: [Hurricane Dorian, firstCategory5LandfallDate, 2019-09-01]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCategory5LandfallDate Context triple: [Hurricane Dorian, firstCategory5LandfallDate, 2019-09-01]
-
A.
firstLandfallBy
Indicates the location or entity where something (typically a storm, traveler, or object) initially makes landfall or first arrives from a journey over water or air.
-
B.
dateOfLandfall
Indicates the specific calendar date on which a storm or similar event first makes landfall at a particular location.
-
C.
firstLandfallYear
Indicates the calendar year in which something (typically a storm or similar event) first makes landfall.
-
D.
secondMajorLandfallDate
Indicates the calendar date on which an entity, such as a storm or similar event, makes its second significant landfall.
-
E.
numberOfCategory5Hurricanes
Indicates the count of hurricanes that have reached Category 5 intensity within a specified context or period.
- 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_69ca829b45f481909040f7b99a1976ed |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb53ba1ac8190ba655133b81596d7 |
completed | April 2, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69cd1d8c584081908b73de75eb18e438 |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd3581a9688190a00cef4c3eebb0ae |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:41 p.m.