Triple
T1715581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Resurrection City |
E37281
|
entity |
| Predicate | hasTypeOfProtest |
P16107
|
FINISHED |
| Object | nonviolent direct action |
—
|
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: nonviolent direct action | Statement: [Resurrection City, hasTypeOfProtest, nonviolent direct action]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfProtest Context triple: [Resurrection City, hasTypeOfProtest, nonviolent direct action]
-
A.
protests
Indicates that an entity publicly expresses opposition or disapproval toward another entity, action, or situation.
-
B.
protestForm
chosen
Indicates the specific method or mode by which a protest or demonstration is carried out.
-
C.
locationOfNotableProtest
Indicates the place where a significant or notable protest event occurred.
-
D.
hasCommonTacticOfActivists
Indicates that multiple activists share or employ the same tactic in their activities or campaigns.
-
E.
hasTypeOfViolence
Indicates that an entity involves, exhibits, or is characterized by a specific kind or category of violent behavior or action.
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab7521878c8190b9e7739b8c3fc705 |
completed | March 7, 2026, 12:45 a.m. |
| PD | Predicate disambiguation | batch_69aa61bd46d48190915500d75a9d8e94 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.