Triple
T25283649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meiyu front |
E633879
|
entity |
| Predicate | hasClimatologicalPeriod |
P161641
|
FINISHED |
| Object | boreal early summer |
—
|
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: boreal early summer | Statement: [Meiyu front, hasClimatologicalPeriod, boreal early summer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClimatologicalPeriod Context triple: [Meiyu front, hasClimatologicalPeriod, boreal early summer]
-
A.
hasClimateRecord
Indicates that an entity possesses documented data or records about climate conditions or climate-related observations.
-
B.
climatologicalSignificance
Indicates the degree to which something is important, influential, or relevant within the context of climate or long-term weather patterns.
-
C.
climatologicalType
Indicates the classification of a climate or weather pattern that characterizes a place, period, or condition.
-
D.
hasClimaticProcess
Indicates a relationship where a climatic process (such as a weather or climate-related phenomenon) occurs in, affects, or is associated with a given entity.
-
E.
hasClimateContext
Indicates that something is associated with, influenced by, or relevant to climate-related conditions, factors, or considerations.
- F. None of above. chosen
Provenance (4 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_69e75a9402fc81909362ca85277c06d9 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f6200ac60481909895c61d050b1338 |
completed | May 2, 2026, 4:02 p.m. |
| PD | Predicate disambiguation | batch_69f61b37a5648190b10d33ae205ccfee |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61f109ef48190873bfe18638d2046 |
completed | May 2, 2026, 3:58 p.m. |
Created at: April 21, 2026, 1:19 p.m.