Triple
T5436601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Oscillation |
E122022
|
entity |
| Predicate | positivePhaseAssociatedWith |
P5784
|
FINISHED |
| Object | La Niña conditions |
—
|
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: La Niña conditions | Statement: [Southern Oscillation, positivePhaseAssociatedWith, La Niña conditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positivePhaseAssociatedWith Context triple: [Southern Oscillation, positivePhaseAssociatedWith, La Niña conditions]
-
A.
hasPositiveForm
Indicates that one form, variant, or expression is the positive (non-comparative, non-superlative, or affirmative) version of another.
-
B.
neutralized
Indicates that one entity has rendered another entity ineffective, harmless, or no longer able to exert its intended effect.
-
C.
polarity
Indicates whether the relationship or statement is affirmed (positive) or denied/opposed (negative).
-
D.
opposite
Indicates that one entity is positioned or oriented directly across from, or in a contrary or reverse relation to, another entity.
-
E.
phase
chosen
Indicates that one entity is in a particular stage, step, or phase within a process, sequence, or lifecycle relative to another reference.
- 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_69bd46400768819092925d461c0b8432 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd922f66bc8190b7d47fd68d2fcf2e |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd919aeb048190b786f814177d6cd9 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:07 p.m.