Triple
T20739619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruairí |
E509802
|
entity |
| Predicate | semanticElement |
P7975
|
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: [Ruairí, semanticElement, red]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: semanticElement Context triple: [Ruairí, semanticElement, red]
-
A.
syntaxElement
Indicates a relationship where something functions as a syntactic unit or component within a larger grammatical or structural expression.
-
B.
symbolElement
Indicates that one entity is a constituent element or component that makes up the other entity, which is treated as a symbol.
-
C.
semanticType
chosen
Indicates that something belongs to or is categorized under a particular semantic class or type based on its meaning.
-
D.
semanticsDetail
Indicates a more specific or fine-grained semantic characterization or nuance of a broader meaning or interpretation.
-
E.
structuralExpression
Indicates that one entity represents the structural or formal expression of another, such as a configuration, layout, or organized form that embodies its structure.
- 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_69e0b4c589c08190834fb5d86d0efa2b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c20d9d4c8190a2fd87f8a33c313d |
completed | April 21, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69e5c0509608819080cdbf47fcddfe36 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:32 p.m.