Triple
T18194652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swedish football season (spring–autumn) |
E435626
|
entity |
| Predicate | reasonForCalendar |
P41485
|
FINISHED |
| Object | Swedish climate |
—
|
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: Swedish climate | Statement: [Swedish football season (spring–autumn), reasonForCalendar, Swedish climate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForCalendar Context triple: [Swedish football season (spring–autumn), reasonForCalendar, Swedish climate]
-
A.
reasonForTime
chosen
Indicates that one entity provides the explanation or cause for a particular point or duration of time associated with another entity.
-
B.
reasonForEvent
Indicates that one event occurs as a consequence of, or is motivated or explained by, another specified cause or reason.
-
C.
reasonForHoliday
Indicates the underlying cause, purpose, or occasion for which a holiday is observed.
-
D.
usesCalendar
Indicates that an entity employs or relies on a calendar system for organizing, tracking, or scheduling dates and events.
-
E.
reasonForAppointment
Indicates the underlying purpose or cause for which an appointment is scheduled or taking 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d1eb1c81908c20b6d15e9c4e8e |
completed | April 19, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69e4331e92408190ad607ba4956a3897 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:31 a.m.