Triple
T534829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsushima Current |
E12302
|
entity |
| Predicate | seasonalVariation |
P955
|
FINISHED |
| Object | stronger in summer than in winter |
—
|
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: stronger in summer than in winter | Statement: [Tsushima Current, seasonalVariation, stronger in summer than in winter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonalVariation Context triple: [Tsushima Current, seasonalVariation, stronger in summer than in winter]
-
A.
hasSeasonalPattern
chosen
Indicates that the occurrence, intensity, or characteristics of something regularly vary according to a recurring seasonal cycle.
-
B.
season
Indicates that an entity participates in, is associated with, or occurs during a particular season or seasonal period.
-
C.
seasonCharacterization
Indicates how a particular season is described, defined, or characterized in terms of its qualities or attributes.
-
D.
seasonalPopulation
Indicates a relationship where the number of individuals in a population varies depending on the season or time of year.
-
E.
typicalSeasonTiming
Indicates the usual time period or season during which something normally occurs or is expected to take place.
- 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_69a4933208e88190891f5debab1b776d |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4985e51908190a34aa82ea9dbee1e |
completed | March 1, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69a494b3e49081909810fa417b31306f |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.