Triple
T21510024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Justice |
E530691
|
entity |
| Predicate | titleColorSymbolism |
P115163
|
FINISHED |
| Object | communism |
—
|
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: communism | Statement: [Red Justice, titleColorSymbolism, communism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleColorSymbolism Context triple: [Red Justice, titleColorSymbolism, communism]
-
A.
starColorSymbolism
Indicates how the color of a star is associated with particular symbolic meanings or themes.
-
B.
primaryColorSymbolism
chosen
Indicates how a primary color is symbolically associated with particular meanings, emotions, or concepts in a given context.
-
C.
colorInIconography
Indicates that a particular color is used to represent or symbolize an entity within a specific iconographic or symbolic tradition.
-
D.
colorHasMeaning
Indicates that a particular color is associated with or conveys a specific meaning, symbolism, or significance.
-
E.
hasPoliticalColorSymbolism
Indicates that something is associated with a particular political meaning or affiliation through its use of color.
- 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea84dfbc8190a23d9a7d6eb2c2b5 |
completed | April 23, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69e631f6e68081908f5ee4ce7413803e |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:25 p.m.