Triple
T26029426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | red black and green flag |
E647386
|
entity |
| Predicate | blackSymbolizes |
P148328
|
FINISHED |
| Object | African identity |
—
|
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: African identity | Statement: [red black and green flag, blackSymbolizes, African identity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: blackSymbolizes Context triple: [red black and green flag, blackSymbolizes, African identity]
-
A.
colorSymbolismBlack
chosen
Indicates the association or symbolic meaning attributed to the color black in a given context.
-
B.
blackStripeSymbolism
Indicates the symbolic meaning or thematic significance associated with a black stripe in a given context.
-
C.
blackStarRepresents
Indicates that a black star symbol is used to denote, signify, or stand in for a particular entity, concept, or status.
-
D.
symbolizes
Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
-
E.
shapeSymbolism
Indicates how a particular shape is associated with or conveys symbolic meaning within a given context.
- 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_69e77e8b60e88190a3b26c4f0032a2c2 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f605ee5ba88190bc99652ac24b69b0 |
completed | May 2, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 22, 2026, 9:06 a.m.