Triple
T14494390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Island |
E359452
|
entity |
| Predicate | weatherInfluencedBy |
P111264
|
FINISHED |
| Object | monsoon |
—
|
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: monsoon | Statement: [East Island, weatherInfluencedBy, monsoon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weatherInfluencedBy Context triple: [East Island, weatherInfluencedBy, monsoon]
-
A.
hasClimateInfluence
Indicates that one entity affects or contributes to the climate characteristics or climate-related conditions of another entity.
-
B.
hasSignificantWeatherInfluence
chosen
Indicates that one entity exerts a substantial impact on the weather conditions or patterns experienced by another entity or region.
-
C.
associatedWithWeather
Indicates a relationship where something is connected or related to weather conditions or phenomena.
-
D.
navigationSeasonInfluencedBy
Indicates that the conditions or characteristics of a navigation season are affected or determined by another factor or entity.
-
E.
weatherConsideration
Indicates that certain conditions, decisions, or actions take into account or are influenced by the current or expected weather.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de930f34d08190b4b30e54e2f702ed |
completed | April 14, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69de5c4ccba08190a988bfda0bc9f5cb |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:21 a.m.