Triple
T15145191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indian Ocean Dipole |
E361786
|
entity |
| Predicate | positivePhaseImpact |
P1634
|
FINISHED |
| Object | enhanced rainfall over East Africa |
—
|
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: enhanced rainfall over East Africa | Statement: [Indian Ocean Dipole, positivePhaseImpact, enhanced rainfall over East Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positivePhaseImpact Context triple: [Indian Ocean Dipole, positivePhaseImpact, enhanced rainfall over East Africa]
-
A.
negativePhaseAssociatedWith
Indicates an association between something and a negative or unfavorable phase, state, or stage in a process or condition.
-
B.
primaryEffect
chosen
Indicates the main direct outcome or consequence that results from a given cause, action, or condition.
-
C.
neutralized
Indicates that one entity has rendered another entity ineffective, harmless, or no longer able to exert its intended effect.
-
D.
polarity
Indicates whether the relationship or statement is affirmed (positive) or denied/opposed (negative).
-
E.
hasPositiveConnotation
Indicates that something is associated with favorable, pleasant, or approving meanings, feelings, or implications.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c71b688190b2e8ccfdf4db9037 |
completed | April 15, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69deb9713fe881909dec2fd3f6c84b39 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:07 a.m.