Triple
T6971943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Asian summer monsoon |
E161617
|
entity |
| Predicate | onsetSeason |
P12625
|
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: [East Asian summer monsoon, onsetSeason, late spring]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: onsetSeason Context triple: [East Asian summer monsoon, onsetSeason, late spring]
-
A.
originalSeasonStart
Indicates the date or point in time when a season (such as a sports league or TV series) first began or was originally launched.
-
B.
openingSeason
Indicates that an entity marks the beginning or first season of another entity, such as a series, event, or competition.
-
C.
typicalStartSeason
chosen
Indicates the season during which something (such as an activity, event, or phenomenon) usually begins.
-
D.
startSeason
Indicates the point in time or event at which a particular season begins.
-
E.
trainingSeason
Indicates the specific season or time period during which training activities or programs 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_69c68854a0d88190bc0bf82263f1afce |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db398f10819096d34b179ccb20d5 |
completed | March 27, 2026, 7:32 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c262508190a7708b3d9cf23d7c |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:30 p.m.