Triple
T18196096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Idea of Socialism |
E435665
|
entity |
| Predicate | normativeFocus |
P106668
|
FINISHED |
| Object | freedom |
—
|
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: freedom | Statement: [The Idea of Socialism, normativeFocus, freedom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: normativeFocus Context triple: [The Idea of Socialism, normativeFocus, freedom]
-
A.
normativelyEmphasizes
chosen
Indicates that one entity highlights, prioritizes, or stresses another entity as a standard, value, or principle that ought to be followed or given special importance.
-
B.
normativeGoal
Indicates that one entity is a desired or prescribed objective, standard, or end state that another entity ought to pursue or realize.
-
C.
normativeFor
Indicates that something establishes, prescribes, or encodes the norms, standards, or rules that should govern another thing’s behavior or state.
-
D.
levelOfNorm
Indicates the degree or extent to which something conforms to a specified norm, standard, or expected behavior.
-
E.
normativelyIncludes
Indicates that one norm or rule encompasses, subsumes, or otherwise includes another within its prescribed scope or requirements.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d2ad5881909d846f3851ac9ec9 |
completed | April 19, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69e4331e92408190ad607ba4956a3897 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:31 a.m.