Triple
T9914359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurricane Dorian |
E185829
|
entity |
| Predicate | secondBahamasLandfallDate |
P23030
|
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, secondBahamasLandfallDate, 2019-09-01]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondBahamasLandfallDate Context triple: [Hurricane Dorian, secondBahamasLandfallDate, 2019-09-01]
-
A.
secondMajorLandfallDate
chosen
Indicates the calendar date on which an entity, such as a storm or similar event, makes its second significant landfall.
-
B.
dateOfLandfall
Indicates the specific calendar date on which a storm or similar event first makes landfall at a particular location.
-
C.
secondMajorLandfallNear
Indicates that an entity (typically a storm or cyclone) makes its second significant landfall in close proximity to a specified location.
-
D.
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.
-
E.
reachedHurricaneStatusOn
Indicates the date or time at which a storm system intensified enough to be classified as a hurricane.
- 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_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. |
Created at: March 30, 2026, 8:41 p.m.