Triple
T14326637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 枝野幸男 |
E355231
|
entity |
| Predicate | 立憲民主党代表就任年 |
P61436
|
FINISHED |
| Object | 2017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: 2017年 | Statement: [枝野幸男, 立憲民主党代表就任年, 2017年]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 立憲民主党代表就任年 Context triple: [枝野幸男, 立憲民主党代表就任年, 2017年]
-
A.
currentRepresentativeSince
Indicates the date or time from which an entity has been serving as the current representative of another entity.
-
B.
representedByPartySince
Indicates that an entity has been represented by a particular party starting from a specified point in time.
-
C.
parliamentaryRepresentationEndYear
Indicates the calendar year in which an entity’s parliamentary representation or membership formally ended.
-
D.
currentIncumbentStartYear
chosen
Indicates the year in which the entity’s current incumbent began their tenure or term in that role.
-
E.
representedInCongressSince
Indicates that an entity has served as a representative in a legislative congress continuously since a specified date or time.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de883e6a288190b6c22f630a1eef3c |
completed | April 14, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69de2a9515f4819081aabf251bca5878 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:13 a.m.