Triple
T37028731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Militarism and Anti-Militarism |
E916428
|
entity |
| Predicate | viewsMilitarismAs |
P35644
|
FINISHED |
| Object | tool of the ruling class |
—
|
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: tool of the ruling class | Statement: [Militarism and Anti-Militarism, viewsMilitarismAs, tool of the ruling class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewsMilitarismAs Context triple: [Militarism and Anti-Militarism, viewsMilitarismAs, tool of the ruling class]
-
A.
stanceOnMilitarism
Indicates an entity’s position, attitude, or viewpoint regarding the use, expansion, or role of military force and institutions.
-
B.
viewsMilitaryAs
chosen
Indicates that one entity holds a particular perception, attitude, or evaluative stance toward the military as an institution or concept.
-
C.
viewsJihadAs
Indicates that one entity regards or interprets jihad in a particular way (e.g., as a concept, duty, struggle, or cause).
-
D.
isMilitarized
Indicates that an entity is organized, equipped, or structured according to military principles, forces, or purposes.
-
E.
wasMilitarized
Indicates that an entity underwent a process of being organized, equipped, or adapted for military use or purposes.
- 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_69f76e92c7648190bcfa277f64c71a21 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:14 p.m.