Triple
T4860970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flame of Hope |
E108657
|
entity |
| Predicate | materialSymbolOf |
P129
|
FINISHED |
| Object | medical research for diabetes |
—
|
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: medical research for diabetes | Statement: [Flame of Hope, materialSymbolOf, medical research for diabetes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: materialSymbolOf Context triple: [Flame of Hope, materialSymbolOf, medical research for diabetes]
-
A.
symbolOnInsignia
Indicates that a particular symbol appears on or is featured as part of an insignia.
-
B.
symbolDesigned
Indicates that one entity created or planned the design of a symbolic representation (such as a logo, icon, or emblem) for another entity.
-
C.
symbolizes
chosen
Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
-
D.
iconOf
Indicates that one entity serves as a symbolic or representative image or emblem of another entity.
-
E.
architecturalSymbol
Indicates that one entity serves as a symbolic or emblematic representation of another within an architectural 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_69bd440b965081908b0557721cae6338 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d5e247c8190b6ae4e9b529f0345 |
completed | March 20, 2026, 3:53 p.m. |
| PD | Predicate disambiguation | batch_69bd6c27334481909ba8ac80854f7d8e |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:26 p.m.