Triple
T15466301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crossing Cup |
E372037
|
entity |
| Predicate | hasSeasonVariants |
P61951
|
FINISHED |
| Object | Animal Crossing course seasons |
—
|
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: Animal Crossing course seasons | Statement: [Crossing Cup, hasSeasonVariants, Animal Crossing course seasons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeasonVariants Context triple: [Crossing Cup, hasSeasonVariants, Animal Crossing course seasons]
-
A.
hasSeasonalCollections
Indicates that an entity offers or maintains collections that vary according to specific seasons or times of year.
-
B.
hasSeason
Indicates that an entity possesses, occurs during, or is associated with a particular season or set of seasons.
-
C.
hasSeasonalCounterpart
chosen
Indicates that one entity corresponds to another entity that appears or is relevant in a different season as its counterpart.
-
D.
hasSeasonalText
Indicates that an entity is associated with text that is specific to or varies by a particular season or time of year.
-
E.
hasSeasonType
Indicates that something is associated with a particular category or type of season (e.g., summer, winter, rainy).
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f680cec8190836a5ec841dee224 |
completed | April 16, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69ded284bd008190b31c53b4f1cebadd |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:33 a.m.