Triple
T37860213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Total Revolution |
E944304
|
entity |
| Predicate | seeksChangeThrough |
P28300
|
FINISHED |
| Object | mass civil disobedience |
—
|
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: mass civil disobedience | Statement: [Total Revolution, seeksChangeThrough, mass civil disobedience]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seeksChangeThrough Context triple: [Total Revolution, seeksChangeThrough, mass civil disobedience]
-
A.
changesEvery
Indicates that one entity undergoes a change whenever or each time another specified condition, event, or entity changes.
-
B.
seeksStatusChange
chosen
Indicates an entity’s intention or attempt to alter the current state, condition, or status of another entity or situation.
-
C.
changesWith
Indicates that one entity varies or is modified in response to changes in another entity.
-
D.
changesMindAfter
Indicates that one entity revises or reverses a previously held decision, opinion, or intention after another entity’s action, statement, or influence.
-
E.
canChangeIn
Indicates that one entity is capable of undergoing alteration, transformation, or variation within the context or influence of another entity or condition.
- 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_69f76eee2f9c8190b1272aa2ee55ebf5 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.