Triple
T12149010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claron Formation |
E289403
|
entity |
| Predicate | climateInfluenceOnErosion |
P73959
|
FINISHED |
| Object | freeze-thaw cycles |
—
|
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: freeze-thaw cycles | Statement: [Claron Formation, climateInfluenceOnErosion, freeze-thaw cycles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: climateInfluenceOnErosion Context triple: [Claron Formation, climateInfluenceOnErosion, freeze-thaw cycles]
-
A.
hasClimateInfluence
Indicates that one entity affects or contributes to the climate characteristics or climate-related conditions of another entity.
-
B.
climateChangeEffect
Indicates how climate change influences or alters a particular entity, condition, or process.
-
C.
rainfallImpact
Indicates how rainfall influences or alters the condition, behavior, or outcome of a target entity or process.
-
D.
climateDependent
chosen
Indicates that the existence, behavior, or outcome of something is determined or significantly influenced by climatic conditions.
-
E.
climaticChallenge
Indicates a relationship where an entity faces, contributes to, or is affected by significant difficulties or stresses arising from climate or weather conditions.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d7109481908bf5fe512bba3c89 |
completed | April 10, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69d9150c18148190bf8152189c0e5fca |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:49 p.m.