Triple
T32241980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese Metabolism movement |
E823639
|
entity |
| Predicate | languageOfManifesto |
P201073
|
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: [Japanese Metabolism movement, languageOfManifesto, Japanese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfManifesto Context triple: [Japanese Metabolism movement, languageOfManifesto, Japanese]
-
A.
languageOfPoliticalWork
Indicates the language in which a political work (such as a document, speech, or publication) is expressed or written.
-
B.
languageOfCampaigning
Indicates the language used to conduct or communicate a campaign (e.g., political, marketing, or advocacy efforts).
-
C.
languageOfPoliticalContext
Indicates the language in which a given political context, discourse, or situation is expressed or conducted.
-
D.
languageOfBallots
Indicates the language or languages in which ballots are written or presented.
-
E.
languageOfPromulgation
Indicates the language in which a law, decree, or official act is formally issued or proclaimed.
- 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_69f3490cdda88190a9d61e11252a771f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ffc605b0648190a7abe9128b0d857a |
completed | May 9, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69ffc5742d80819099f947ece78d5700 |
completed | May 9, 2026, 11:38 p.m. |
| PDg | Predicate description generation | batch_69ffc60504808190a89990b556b1d5ce |
completed | May 9, 2026, 11:40 p.m. |
Created at: May 1, 2026, 12:40 a.m.