Triple
T38487048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurricane Gilbert |
E917945
|
entity |
| Predicate | causedDeathsIn |
P130516
|
FINISHED |
| Object | Jamaica |
—
|
NE NERFINISHED |
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: Jamaica | Statement: [Hurricane Gilbert, causedDeathsIn, Jamaica]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causedDeathsIn Context triple: [Hurricane Gilbert, causedDeathsIn, Jamaica]
-
A.
causedFatalities
chosen
Indicates that the referenced event or action directly resulted in one or more deaths.
-
B.
causeOfDeath
Indicates the specific factor, event, or condition that directly resulted in an entity’s death.
-
C.
deathToll
Indicates the number of deaths resulting from a particular event, situation, or cause.
-
D.
numberOfUSFatalities
Indicates the number of people who died in the United States as a result of the specified event or circumstance.
-
E.
indirectFatalitiesCause
Indicates a causal relationship where an entity is responsible for deaths that occur indirectly, as a secondary or downstream consequence rather than as the immediate cause.
- 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_69f76e9894208190a129a553a60ca58c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd974d75e08190af46b1d608769f3b |
completed | May 8, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69fd94ff792c8190bedf4a639d3da809 |
completed | May 8, 2026, 7:47 a.m. |
Created at: May 3, 2026, 4:31 p.m.