Triple
T37414056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waging Nonviolent Struggle |
E929650
|
entity |
| Predicate | usesCaseStudiesOf |
P41975
|
FINISHED |
| Object | historical nonviolent movements |
—
|
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: historical nonviolent movements | Statement: [Waging Nonviolent Struggle, usesCaseStudiesOf, historical nonviolent movements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesCaseStudiesOf Context triple: [Waging Nonviolent Struggle, usesCaseStudiesOf, historical nonviolent movements]
-
A.
hasCaseStudy
Indicates that one entity is documented, illustrated, or analyzed by a specific case study associated with it.
-
B.
usesCase
Indicates that one entity employs, applies, or makes practical use of another entity for a particular purpose or function.
-
C.
caseStudyNumber
Indicates the identifying number assigned to a specific case study within a collection or series.
-
D.
usedResearchFrom
Indicates that one entity based its work, findings, or outputs on research conducted or provided by another entity.
-
E.
usedAsExampleIn
chosen
Indicates that one entity is cited or presented as an illustrative example within another entity, such as a text, discussion, or explanation.
- 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_69f76ebde49481908566cd96b37ccc84 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe6e492bf8819080b25221d13445ea |
completed | May 8, 2026, 11:14 p.m. |
| PD | Predicate disambiguation | batch_69fe6dd33a6881908fe9bbbc184cab51 |
completed | May 8, 2026, 11:12 p.m. |
Created at: May 3, 2026, 4:16 p.m.