Triple
T860671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian anarchism |
E18591
|
entity |
| Predicate | viewOnViolence |
P20272
|
FINISHED |
| Object | Christians should not participate in war |
—
|
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: Christians should not participate in war | Statement: [Christian anarchism, viewOnViolence, Christians should not participate in war]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOnViolence Context triple: [Christian anarchism, viewOnViolence, Christians should not participate in war]
-
A.
hasTypeOfViolence
Indicates that an entity involves, exhibits, or is characterized by a specific kind or category of violent behavior or action.
-
B.
portraysAsVictim
Indicates that one entity represents or depicts another entity as a victim in a given context or narrative.
-
C.
viewOnEmotion
Indicates a relationship where one entity holds a particular emotional perspective, reaction, or attitude toward another entity or situation.
-
D.
viewOnHumanity
Indicates a stance, opinion, or overall perspective that an entity holds regarding humanity as a whole.
-
E.
viewOfSin
Indicates a person's attitude, interpretation, or judgment about what constitutes sin or sinful behavior.
- 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_69a4938bdd3c8190a954a3c11844d9cf |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac52536c8190ab198232e9ec4bd6 |
completed | March 1, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69a4aa84835081908aaf98b10656d7d6 |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4ab498bb0819080e3afb684b504b6 |
completed | March 1, 2026, 9:10 p.m. |
Created at: March 1, 2026, 7:39 p.m.