Triple
T37028732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Militarism and Anti-Militarism |
E916428
|
entity |
| Predicate | viewsWarAs |
P33446
|
FINISHED |
| Object | product of capitalist competition |
—
|
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: product of capitalist competition | Statement: [Militarism and Anti-Militarism, viewsWarAs, product of capitalist competition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewsWarAs Context triple: [Militarism and Anti-Militarism, viewsWarAs, product of capitalist competition]
-
A.
viewOnWar
chosen
Indicates a stance, opinion, or perspective that an entity holds regarding war or armed conflict.
-
B.
viewsMilitaryAs
Indicates that one entity holds a particular perception, attitude, or evaluative stance toward the military as an institution or concept.
-
C.
viewsAs
Indicates that one entity perceives, interprets, or regards another entity in a particular way or role.
-
D.
depictsWarAs
Indicates that one entity portrays or represents war in a particular way or light.
-
E.
viewIs
Indicates that one entity is a visual representation or perspective of another entity.
- 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_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:14 p.m.