Triple
T1146259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2018 Liberal Democratic Party (Japan) leadership election |
E23571
|
entity |
| Predicate | languageOfCampaignMaterials |
P11589
|
FINISHED |
| Object | Japanese |
—
|
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: Japanese | Statement: [2018 Liberal Democratic Party (Japan) leadership election, languageOfCampaignMaterials, Japanese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfCampaignMaterials Context triple: [2018 Liberal Democratic Party (Japan) leadership election, languageOfCampaignMaterials, Japanese]
-
A.
languageOfCampaigning
chosen
Indicates the language used to conduct or communicate a campaign (e.g., political, marketing, or advocacy efforts).
-
B.
languageOfOfficialAnnouncements
Indicates the language used for formal or official public announcements issued by an authority.
-
C.
languageOfSources
Indicates that the specified language is the language in which the referenced sources or source materials are expressed.
-
D.
languageOfBallots
Indicates the language or languages in which ballots are written or presented.
-
E.
languageOfWritings
Indicates that a specified language is the one in which certain writings or written works are composed.
- 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_69a493ef399c8190b04b9146d2314f59 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc6e8c2081909fb3534413b7aacb |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4d4104819084027a043c6118cb |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.