Triple
T20859357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurricane Stan |
E513572
|
entity |
| Predicate | landfallDateInMexico |
P69049
|
FINISHED |
| Object | 2005-10-04 |
—
|
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: 2005-10-04 | Statement: [Hurricane Stan, landfallDateInMexico, 2005-10-04]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landfallDateInMexico Context triple: [Hurricane Stan, landfallDateInMexico, 2005-10-04]
-
A.
dateOfLandfall
chosen
Indicates the specific calendar date on which a storm or similar event first makes landfall at a particular location.
-
B.
releaseDateMexico
Indicates the date on which something (typically a product, work, or event) is officially released or made available in Mexico.
-
C.
secondMajorLandfallDate
Indicates the calendar date on which an entity, such as a storm or similar event, makes its second significant landfall.
-
D.
landfallLocation
Indicates the geographic location where a storm or similar weather system first makes landfall.
-
E.
arrivalInHavanaDate
Indicates the date on which an entity arrives in Havana.
- 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3aabef4819098f0fd24dcc27dbd |
completed | April 21, 2026, 12:24 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a593f481908beb457c29f1ce73 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:44 p.m.