Triple
T8300731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese Wikiquote |
E194342
|
entity |
| Predicate | isCollaborative |
P82600
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Japanese Wikiquote, isCollaborative, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCollaborative Context triple: [Japanese Wikiquote, isCollaborative, true]
-
A.
isCollaboration
Indicates that two or more entities are jointly working together toward a shared goal or producing something in partnership.
-
B.
isCooperative
Indicates that an entity engages willingly and constructively in joint actions or relationships with others, working together toward shared goals.
-
C.
collaborationOf
Indicates a relationship in which two or more entities work together jointly toward a shared goal or outcome.
-
D.
collaborativeWork
Indicates a relationship where two or more entities jointly contribute effort or resources toward a shared task, project, or goal.
-
E.
hasCooperative
Indicates that one entity participates in a cooperative relationship or partnership with another entity.
- 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_69ca82e50ebc81909aa7b260c76bd757 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7e879c588190a6f95cf7795541ad |
completed | March 31, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69cb70b5b5348190b296e0ecec95de60 |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76d648988190ab0669cc0592e827 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:53 p.m.