Triple
T30206454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senzai Wakashū |
E767935
|
entity |
| Predicate | eraOfCompletion |
P174302
|
FINISHED |
| Object | Jishō–Yōwa era |
—
|
NE NERFINISHED |
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: Jishō–Yōwa era | Statement: [Senzai Wakashū, eraOfCompletion, Jishō–Yōwa era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraOfCompletion Context triple: [Senzai Wakashū, eraOfCompletion, Jishō–Yōwa era]
-
A.
yearTaken
Indicates the specific calendar year in which an action, event, or record associated with the subject was carried out or occurred.
-
B.
degreeCompletion
Indicates that an entity has successfully fulfilled all requirements to complete and obtain an academic degree.
-
C.
yearOfCommencement
Indicates the specific year in which an activity, event, project, or entity officially began or was initiated.
-
D.
matriculationYear
Indicates the calendar year in which an individual formally enrolled or was admitted into an educational program or institution.
-
E.
graduatedTo
Indicates that one entity has successfully completed a course of study or training program at another entity and obtained a formal qualification or degree from it.
- 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_69f2247eb0848190b4032f302d39c0d9 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6bcc425588190afd0dceba43ed79f |
completed | May 3, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
| PDg | Predicate description generation | batch_69f6bbf5a8288190ae170bcbe8ab65cf |
completed | May 3, 2026, 3:07 a.m. |
Created at: April 29, 2026, 7:31 p.m.