Triple
T7551583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 天神 |
E178545
|
entity |
| Predicate | 関連する季節 |
P1166
|
FINISHED |
| Object | 春（梅の開花） |
—
|
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: 春（梅の開花） | Statement: [天神, 関連する季節, 春（梅の開花）]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 関連する季節 Context triple: [天神, 関連する季節, 春（梅の開花）]
-
A.
affectedSeason
Indicates that one entity has an influence on, or causes a change in, a particular season.
-
B.
hasSeasonalCounterpart
Indicates that one entity corresponds to another entity that appears or is relevant in a different season as its counterpart.
-
C.
season
chosen
Indicates that an entity participates in, is associated with, or occurs during a particular season or seasonal period.
-
D.
hasSeasonalNature
Indicates that something exhibits characteristics, behavior, or occurrence patterns that vary according to specific seasons or times of the year.
-
E.
basedOnSeason
Indicates that something is determined, influenced, or derived according to a particular season or time of year.
- 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_69c69f2cbe08819088f9eb0c03ef529b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8b6c6488190b8fd94aca6ea8486 |
completed | March 27, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69c6f4daad6c8190af2b8ae88d2c8cb7 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:49 p.m.