Triple
T3052794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | September |
E60409
|
entity |
| Predicate | isInSeasonSouthernHemisphere |
P34852
|
FINISHED |
| Object | 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: winter | Statement: [September, isInSeasonSouthernHemisphere, winter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInSeasonSouthernHemisphere Context triple: [September, isInSeasonSouthernHemisphere, winter]
-
A.
typicalSeasonSouthernHemisphere
chosen
Indicates the season in the Southern Hemisphere during which something most commonly or characteristically occurs.
-
B.
occursInSeasonInNorthernHemisphere
Indicates that an event or phenomenon takes place during a specified season as defined for the Northern Hemisphere.
-
C.
phaseOfSeason
Indicates that one temporal segment represents a specific phase or part within a larger season.
-
D.
hasSeasonalStatus
Indicates that an entity’s status, availability, or condition varies according to a particular season or time of year.
-
E.
hasOppositeSeasonTime
Indicates that two locations experience opposite seasons at the same time of year (e.g., when it is summer in one, it is winter in the other).
- 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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9bf3c52c8190bbe8e5cb98c21715 |
completed | March 8, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69ad962195388190856013a2519c2b0f |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:01 p.m.