Triple
T4844833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | state emblem of the Soviet Union |
E108262
|
entity |
| Predicate | globeMeaning |
P28264
|
FINISHED |
| Object | global aspirations of socialism |
—
|
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: global aspirations of socialism | Statement: [state emblem of the Soviet Union, globeMeaning, global aspirations of socialism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: globeMeaning Context triple: [state emblem of the Soviet Union, globeMeaning, global aspirations of socialism]
-
A.
globeRepresents
chosen
Indicates that one entity (the globe) serves as a symbolic or visual representation of another entity, concept, or geographic reality.
-
B.
stringMeaning
Indicates that one entity represents the semantic content or interpretation of a given string associated with another entity.
-
C.
commonMeaning
Indicates that multiple entities share the same or very similar meaning or semantic interpretation.
-
D.
worldName
Indicates that an entity has or is associated with a specific world’s name.
-
E.
worldDefinitionInContext
Indicates that a particular definition of a term or concept is specified as it applies within a given context or situation.
- 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_69bd4409b264819085ab855f3eb5381a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e01872c81909607010c10538ad1 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2375a4819098e16acb982c8fab |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:25 p.m.