Triple
T6106472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japan Golf Tour |
E136127
|
entity |
| Predicate | seasonTypicallyRuns |
P68177
|
FINISHED |
| Object | from spring to late autumn |
—
|
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: from spring to late autumn | Statement: [Japan Golf Tour, seasonTypicallyRuns, from spring to late autumn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonTypicallyRuns Context triple: [Japan Golf Tour, seasonTypicallyRuns, from spring to late autumn]
-
A.
seasonTypicalStartMonth
Indicates the calendar month in which a particular season usually begins.
-
B.
seasonTypicalEndMonth
Indicates the month in which a given season typically ends.
-
C.
seasonLabel
Indicates the specific season (e.g., spring, summer, fall, winter, or a numbered TV season) associated with an entity.
-
D.
hasSeasonType
Indicates that something is associated with a particular category or type of season (e.g., summer, winter, rainy).
-
E.
hasSeasonalStatus
Indicates that an entity’s status, availability, or condition varies according to a particular season or time of year.
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b806bd48190b6f020af3391adb8 |
completed | March 22, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69c049f80e2081909b7d84a104cda68d |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8e3f2c8190be459ca02f9b315a |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:13 p.m.