Triple
T6265024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurricane Maria |
E140391
|
entity |
| Predicate | madeLandfallAs |
P6518
|
FINISHED |
| Object | Category 5 hurricane in Dominica |
—
|
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: Category 5 hurricane in Dominica | Statement: [Hurricane Maria, madeLandfallAs, Category 5 hurricane in Dominica]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: madeLandfallAs Context triple: [Hurricane Maria, madeLandfallAs, Category 5 hurricane in Dominica]
-
A.
madeLandfallOn
Indicates that a storm or similar weather system has come ashore and first reached land at a specific location or on a specific date.
-
B.
landedNear
Indicates that one entity has come to rest on a surface or location in close proximity to another specified entity or reference point.
-
C.
landedOnBy
Indicates that one entity has come down to rest upon or make contact with the surface of another entity.
-
D.
landPassedTo
Indicates that ownership or control of a piece of land has been transferred from one party to another.
-
E.
landfallLocation
chosen
Indicates the geographic location where a storm or similar weather system first makes landfall.
- 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_69c008cabc4081909723e2547c9d6cc0 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0639e64588190875e4e1e772fb336 |
completed | March 22, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69c05606fb50819082d1a5a91e5030b6 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:25 p.m.