Triple
T8218906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | post-Napoleonic era |
E192006
|
entity |
| Predicate | hasOppositionalIdeology |
P22586
|
FINISHED |
| Object | liberalism |
—
|
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: liberalism | Statement: [post-Napoleonic era, hasOppositionalIdeology, liberalism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOppositionalIdeology Context triple: [post-Napoleonic era, hasOppositionalIdeology, liberalism]
-
A.
opposingIdeology
Indicates that two entities hold conflicting or mutually incompatible belief systems, doctrines, or ideological positions.
-
B.
hasOpposedIdea
Indicates that one entity holds an idea that conflicts with, contradicts, or stands in opposition to the idea held by another entity.
-
C.
hasOppositionalPerception
Indicates that one entity perceives another entity, concept, or situation as being in opposition, conflict, or contradiction to itself or its interests.
-
D.
hasIdeologicalPosition
Indicates that an entity holds, endorses, or is associated with a particular ideological stance or viewpoint.
-
E.
hasIdeologicalConflict
chosen
Indicates a relationship where two entities hold opposing or incompatible ideologies that put them in conflict with each other.
- 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_69ca82c9a8ac81908b011c38698456e4 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb7770cee881908ade560d49427895 |
completed | March 31, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69cb36af41e081909dee92b9bc4947f1 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:45 p.m.