Triple
T29967879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 川上哲治 |
E761237
|
entity |
| Predicate | V9期間 |
P168302
|
FINISHED |
| Object | 1965年–1973年 |
—
|
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: 1965年–1973年 | Statement: [川上哲治, V9期間, 1965年–1973年]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: V9期間 Context triple: [川上哲治, V9期間, 1965年–1973年]
-
A.
ninthGenerationEnd
Indicates the point in time or event at which the ninth generation in a sequence, lineage, or cycle comes to an end.
-
B.
introducedDuring
Indicates that one entity was first brought into existence, use, or awareness within the time period, event, or context specified by the other entity.
-
C.
lastVintage
Indicates the most recent or final vintage associated with a given entity, such as the latest year or batch in a series of vintages.
-
D.
rebrandPeriod
Indicates the time span during which an entity undergoes or is designated for a rebranding.
-
E.
B9
Indicates a generic or unspecified relationship between entities labeled under code B9, whose specific nature is not defined by this predicate alone.
- 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_69f22467626081908d5afea489590e96 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6786bd7208190b8bb4aa26506f597 |
completed | May 2, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 29, 2026, 6:30 p.m.