Triple
T34857457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Tuva |
E1004764
|
entity |
| Predicate | symbolizesShapeTriangle |
P73239
|
FINISHED |
| Object | traditional Tuvan ornaments |
—
|
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: traditional Tuvan ornaments | Statement: [Flag of Tuva, symbolizesShapeTriangle, traditional Tuvan ornaments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolizesShapeTriangle Context triple: [Flag of Tuva, symbolizesShapeTriangle, traditional Tuvan ornaments]
-
A.
meaningOfTriangle
Indicates that one entity represents or defines the semantic meaning or conceptual interpretation of a given triangle.
-
B.
artTriangleWith
Indicates a relationship where one entity forms or is associated with a triangle together with two other specified entities.
-
C.
symbolizes
Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
-
D.
hasTriangle
Indicates that an entity possesses, contains, or is associated with a triangle.
-
E.
shapeSymbolism
chosen
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_69f76dba76f0819090643cba102c41ec |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4 p.m.