Triple
T412879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Principles of Political Economy |
E9528
|
entity |
| Predicate | opposesView |
P437
|
FINISHED |
| Object | automatic full-employment equilibrium |
—
|
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: automatic full-employment equilibrium | Statement: [Principles of Political Economy, opposesView, automatic full-employment equilibrium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: opposesView Context triple: [Principles of Political Economy, opposesView, automatic full-employment equilibrium]
-
A.
opposedBy
chosen
Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
-
B.
opinionBy
Indicates that a particular opinion, viewpoint, or judgment is expressed or held by a specific entity.
-
C.
voteAgainst
Indicates that an entity formally expresses opposition to a proposal, decision, or candidate in a voting process.
-
D.
opposingForce
Indicates a relationship where one entity actively resists, counters, or works against the actions, goals, or influence of another entity.
-
E.
supportsView
Indicates that one entity provides the capability to display, render, or present another entity in a particular view or format.
- 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_69a2e80111fc8190961d5b7c6154123f |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ecdc422881908910428fd1aee7c6 |
completed | Feb. 28, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69a2e9749234819084b0ce94faabd0b1 |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:09 p.m.