Triple
T20077064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Generation of 1914 |
E499895
|
entity |
| Predicate | intellectualOrientation |
P7514
|
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: [Generation of 1914, intellectualOrientation, liberalism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intellectualOrientation Context triple: [Generation of 1914, intellectualOrientation, liberalism]
-
A.
typeOfIntelligence
Indicates that one entity is a specific kind or category of intelligence in relation to another entity.
-
B.
intellectualTrend
chosen
Indicates a relationship where an idea, movement, or way of thinking is recognized as an intellectual trend influencing thought or discourse.
-
C.
intellectualRole
Indicates that an entity holds or performs a specific intellectual function, capacity, or responsibility in relation to another entity or work.
-
D.
reflectsIdeasOf
Indicates that one entity expresses, mirrors, or embodies the ideas, viewpoints, or conceptual content originating from another entity.
-
E.
hasPhilosophicalInterestIn
Indicates that one entity holds a philosophical curiosity, concern, or engagement regarding 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6643d5238819098b7d4e4e2c8dd67 |
completed | April 20, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69e54cf369b88190931532420517dac7 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:40 p.m.