Triple
T10138334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huronian glaciation |
E226916
|
entity |
| Predicate | climaticImpact |
P3009
|
FINISHED |
| Object | long-term global cooling |
—
|
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: long-term global cooling | Statement: [Huronian glaciation, climaticImpact, long-term global cooling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: climaticImpact Context triple: [Huronian glaciation, climaticImpact, long-term global cooling]
-
A.
climateChangeEffect
Indicates how climate change influences or alters a particular entity, condition, or process.
-
B.
climaticChallenge
Indicates a relationship where an entity faces, contributes to, or is affected by significant difficulties or stresses arising from climate or weather conditions.
-
C.
hasClimateInfluence
chosen
Indicates that one entity affects or contributes to the climate characteristics or climate-related conditions of another entity.
-
D.
climateDependent
Indicates that the existence, behavior, or outcome of something is determined or significantly influenced by climatic conditions.
-
E.
climateChangeIndicator
Indicates that the subject serves as a sign, measure, or signal of the presence, extent, or impact of climate change on the related object or context.
- 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_69ca8433ec308190b8b25a6fe359c34c |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cde88344a481909ee833451fab6e58 |
completed | April 2, 2026, 3:54 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba4f5d88190ba68e63be10b08c7 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:06 p.m.