Triple
T21874932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Blood Nation |
E540111
|
entity |
| Predicate | hasSymbolColor |
P48842
|
FINISHED |
| Object | red |
—
|
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: red | Statement: [United Blood Nation, hasSymbolColor, red]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSymbolColor Context triple: [United Blood Nation, hasSymbolColor, red]
-
A.
hasColorSymbol
Indicates that one entity is associated with another entity that serves as its representative or symbolic color.
-
B.
hasColorInfo
chosen
Indicates that an entity is associated with specific color-related information or attributes.
-
C.
hasColorReference
Indicates that one entity serves as a reference or source for determining or specifying the color associated with another entity.
-
D.
hasSymbolFor
Indicates that one entity serves as the symbolic representation or sign for another entity.
-
E.
hasColorDisplay
Indicates that an entity is equipped with a display capable of showing colors rather than only monochrome output.
- 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_69e0c478f59081909d54302b57fc1ce3 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f33957f481908789b054a4fd1b77 |
completed | April 28, 2026, 5:49 p.m. |
| PD | Predicate disambiguation | batch_69e6be9394f88190945ddd1dc004d29d |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:02 p.m.