Triple
T32445321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saharan Air Layer |
E829127
|
entity |
| Predicate | formsSeason |
P1014
|
FINISHED |
| Object | late spring |
—
|
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: late spring | Statement: [Saharan Air Layer, formsSeason, late spring]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formsSeason Context triple: [Saharan Air Layer, formsSeason, late spring]
-
A.
formedSeason
Indicates that an entity came into existence, was created, or was established during a specific season.
-
B.
sportSeasonOf
Indicates that one entity is a sports season that belongs to, or is part of, the overall history or schedule of the specified sport.
-
C.
trainingSeason
Indicates the specific season or time period during which training activities or programs take place.
-
D.
hasSeason
chosen
Indicates that an entity possesses, occurs during, or is associated with a particular season or set of seasons.
-
E.
dstSeason
Indicates the specific season during which daylight saving time (DST) is in effect for a given context or location.
- 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_69f3491d2e5c819092b1c9535beff8ec |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 1, 2026, 12:56 a.m.