Triple
T5965148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Cuba |
E132732
|
entity |
| Predicate | whiteStripesSymbolism |
P4986
|
FINISHED |
| Object | purity of the patriotic cause |
—
|
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: purity of the patriotic cause | Statement: [Flag of Cuba, whiteStripesSymbolism, purity of the patriotic cause]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: whiteStripesSymbolism Context triple: [Flag of Cuba, whiteStripesSymbolism, purity of the patriotic cause]
-
A.
whiteStripeMeaning
chosen
Indicates that one entity has a white stripe pattern or marking that is significant or characteristic in the context of the relationship.
-
B.
blackStripeSymbolism
Indicates the symbolic meaning or thematic significance associated with a black stripe in a given context.
-
C.
redStripeMeaning
Indicates that something has a red-colored stripe and conveys the meaning, symbolism, or significance associated with that red stripe.
-
D.
pinkStripeMeaning
Indicates that something has a stripe whose color is pink.
-
E.
blueStripeMeaning
Indicates that something has the meaning, symbolism, or significance associated specifically with a blue stripe.
- 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03fb7f8a88190a8bd45208bda4a03 |
completed | March 22, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69c0335a635881909c58c1ef0f97f1e8 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4:03 p.m.