Triple
T25421961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phagun |
E637007
|
entity |
| Predicate | climaticAssociation |
P158828
|
FINISHED |
| Object | transition from winter to spring in Assam |
—
|
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: transition from winter to spring in Assam | Statement: [Phagun, climaticAssociation, transition from winter to spring in Assam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: climaticAssociation Context triple: [Phagun, climaticAssociation, transition from winter to spring in Assam]
-
A.
climatologicalSignificance
Indicates the degree to which something is important, influential, or relevant within the context of climate or long-term weather patterns.
-
B.
climaticRole
Indicates the role or influence that something has on climate patterns or climatic conditions.
-
C.
hasClimate
Indicates that an entity possesses or is characterized by a particular type of climate or climatic conditions.
-
D.
climatologicalType
Indicates the classification of a climate or weather pattern that characterizes a place, period, or condition.
-
E.
climateDependent
Indicates that the existence, behavior, or outcome of something is determined or significantly influenced by climatic conditions.
- 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_69e75db4135881909acc287ebcb7a505 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f6bd517c819086c0e8e9c2dce972 |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f4806d93dc8190b9dff4c63186faff |
completed | May 1, 2026, 10:29 a.m. |
| PDg | Predicate description generation | batch_69f48b9058d081908ec9af261ee092e2 |
completed | May 1, 2026, 11:16 a.m. |
Created at: April 21, 2026, 1:56 p.m.