Triple
T8725088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RSMC Nadi |
E207110
|
entity |
| Predicate | primaryHazardType |
P1950
|
FINISHED |
| Object | tropical cyclones |
—
|
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: tropical cyclones | Statement: [RSMC Nadi, primaryHazardType, tropical cyclones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryHazardType Context triple: [RSMC Nadi, primaryHazardType, tropical cyclones]
-
A.
hazardType
chosen
Indicates the specific kind or category of hazard associated with an entity or situation.
-
B.
primaryThreat
Indicates that one entity is the main or most significant source of danger, harm, or risk to another entity.
-
C.
primaryContainmentType
Indicates the main method or structure used to hold, enclose, or confine one entity within another.
-
D.
primaryCauseCategory
Indicates the main type or classification of cause responsible for an outcome or event.
-
E.
primaryDamageType
Indicates the main kind of harm or injury that an action, event, or object is responsible for causing.
- 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_69ca835811d8819081ea00fd2a2c9a1c |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d1404948190bc45d14a1ddb1a7e |
completed | March 31, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69cc457093188190959287a6458651c6 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:36 p.m.