Triple
T21514544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nihon Shirīzu |
E530808
|
entity |
| Predicate | hasSeasonRelation |
P144678
|
FINISHED |
| Object | follows NPB regular season |
—
|
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: follows NPB regular season | Statement: [Nihon Shirīzu, hasSeasonRelation, follows NPB regular season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeasonRelation Context triple: [Nihon Shirīzu, hasSeasonRelation, follows NPB regular season]
-
A.
hasSeason
Indicates that an entity possesses, occurs during, or is associated with a particular season or set of seasons.
-
B.
hasSeasonType
Indicates that something is associated with a particular category or type of season (e.g., summer, winter, rainy).
-
C.
hasSeasonScope
Indicates that something is applicable, valid, or relevant only within a specified season or seasonal period.
-
D.
hasSeasonStructureElement
Indicates that something includes or is composed of a specific structural element within a season (such as a part, phase, or segment of that season).
-
E.
belongsToSeason
Indicates that something is associated with, occurs in, or is classified as part of a particular season.
- 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea89b6e48190ac4ea139b895714f |
completed | April 23, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69e6320043bc81909417c41a718652ba |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e6386c5a4481909c37f7de7e9fc025 |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 16, 2026, 6:25 p.m.