Triple
T1650632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2032 Summer Olympics |
E35681
|
entity |
| Predicate | climateSeasonInHostCity |
P29013
|
FINISHED |
| Object | winter in Southern Hemisphere |
—
|
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: winter in Southern Hemisphere | Statement: [2032 Summer Olympics, climateSeasonInHostCity, winter in Southern Hemisphere]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: climateSeasonInHostCity Context triple: [2032 Summer Olympics, climateSeasonInHostCity, winter in Southern Hemisphere]
-
A.
typicalSeasonTiming
Indicates the usual time period or season during which something normally occurs or is expected to take place.
-
B.
occursInSeasonInNorthernHemisphere
chosen
Indicates that an event or phenomenon takes place during a specified season as defined for the Northern Hemisphere.
-
C.
coldestSeason
Indicates the season during which a place or region experiences its lowest typical temperatures compared to other seasons.
-
D.
affectedSeason
Indicates that one entity has an influence on, or causes a change in, a particular season.
-
E.
seasonCulminatesIn
Indicates that a particular season reaches its peak, conclusion, or defining outcome in the specified event or state.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaa0fbe984819084f8daee81ca9b67 |
completed | March 6, 2026, 9:40 a.m. |
| PD | Predicate disambiguation | batch_69a907ce4dd881909168a1e99505d4ec |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:29 p.m.