Triple
T16016673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 山口那津男 |
E388484
|
entity |
| Predicate | 公明党代表就任年 |
P121372
|
FINISHED |
| Object | 2009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: 2009年 | Statement: [山口那津男, 公明党代表就任年, 2009年]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 公明党代表就任年 Context triple: [山口那津男, 公明党代表就任年, 2009年]
-
A.
representedByPartySince
Indicates that an entity has been represented by a particular party starting from a specified point in time.
-
B.
hasRepresentativeParty
Indicates that an entity is officially represented or acted for by a particular political party or organized group.
-
C.
currentRepresentativeSince
Indicates the date or time from which an entity has been serving as the current representative of another entity.
-
D.
previousRepresentativeParty
Indicates that a given party previously served as the representative party for another entity before the current representative was in place.
-
E.
targetedOfficeElectionYear
Indicates the year in which the election is held for the office that is the target of the relationship.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e1826a4f7c8190aba6d4f1075141b0 |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e185879c10819080a18e24969b5a6d |
completed | April 17, 2026, 12:57 a.m. |
Created at: April 10, 2026, 4:55 a.m.