Triple
T6971945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Asian summer monsoon |
E161617
|
entity |
| Predicate | retreatSeason |
P73580
|
FINISHED |
| Object | late summer |
—
|
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 summer | Statement: [East Asian summer monsoon, retreatSeason, late summer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: retreatSeason Context triple: [East Asian summer monsoon, retreatSeason, late summer]
-
A.
recreationSeason
Indicates the time of year or specific season during which a recreational activity, facility, or area is typically used or available.
-
B.
dstSeason
Indicates the specific season during which daylight saving time (DST) is in effect for a given context or location.
-
C.
summerWinterCycle
Indicates a recurring transition between summer and winter seasons, capturing the cyclical change in conditions or states across these two periods.
-
D.
affectedSeason
Indicates that one entity has an influence on, or causes a change in, a particular season.
-
E.
seasonalReversal
Indicates a relationship where the usual seasonal pattern or effect between entities is inverted or occurs in the opposite manner from what is typically expected.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69c6d8e2d7b48190b37bb13984663cde |
completed | March 27, 2026, 7:22 p.m. |
Created at: March 27, 2026, 2:30 p.m.