Triple
T28032952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kairakuen Garden |
E708320
|
entity |
| Predicate | KairakuenStationOperation |
P163647
|
FINISHED |
| Object | seasonal |
—
|
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: seasonal | Statement: [Kairakuen Garden, KairakuenStationOperation, seasonal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: KairakuenStationOperation Context triple: [Kairakuen Garden, KairakuenStationOperation, seasonal]
-
A.
代表的途中駅
Indicates that something serves as or is designated as an intermediate station representing a route or line.
-
B.
TokyuStationNumber
Indicates that an entity is assigned a specific station number within the Tokyu railway network.
-
C.
KeihanSectionOpeningDate
Indicates the date on which a specific section of the Keihan railway line was opened to service.
-
D.
adjacentStationOnHankyuKyotoLine
Indicates that one station is directly next to another station along the Hankyu Kyoto railway line, with no other stations in between.
-
E.
hasShinkansenStop
Indicates that a location is served by and includes a stop for a Shinkansen (high-speed rail) line.
- 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_69ef9b6bdd9c8190bb3a574a03774ad1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f63c7507dc81909db7f9b46f012c76 |
completed | May 2, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69f63710d17c819084cfe96e6df334fd |
completed | May 2, 2026, 5:40 p.m. |
| PDg | Predicate description generation | batch_69f63893cc188190883ac9321a95d2dc |
completed | May 2, 2026, 5:46 p.m. |
Created at: April 27, 2026, 8:18 p.m.