Triple
T31452148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaigas glaciation |
E802351
|
entity |
| Predicate | climaticInterpretation |
P158828
|
FINISHED |
| Object | global cooling event |
—
|
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: global cooling event | Statement: [Kaigas glaciation, climaticInterpretation, global cooling event]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: climaticInterpretation Context triple: [Kaigas glaciation, climaticInterpretation, global cooling event]
-
A.
climatologicalSignificance
Indicates the degree to which something is important, influential, or relevant within the context of climate or long-term weather patterns.
-
B.
climaticAssociation
chosen
Indicates a relationship where one entity is linked to another through shared, influencing, or correlated climatic conditions or patterns.
-
C.
climaticChallenge
Indicates a relationship where an entity faces, contributes to, or is affected by significant difficulties or stresses arising from climate or weather conditions.
-
D.
climaticRole
Indicates the role or influence that something has on climate patterns or climatic conditions.
-
E.
climatologicalType
Indicates the classification of a climate or weather pattern that characterizes a place, period, or condition.
- 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_69f348c678ac81908a2e950867619061 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a916d2e08190bafc01cba73b6469 |
completed | May 3, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 9:14 p.m.