Triple
T6582747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Color Study: Squares with Concentric Circles |
E157338
|
entity |
| Predicate | geometricElement |
P25627
|
FINISHED |
| Object | grid |
—
|
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: grid | Statement: [Color Study: Squares with Concentric Circles, geometricElement, grid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geometricElement Context triple: [Color Study: Squares with Concentric Circles, geometricElement, grid]
-
A.
geometricFunction
Indicates a relationship where one entity serves as a geometric transformation or operation that, when applied, produces or modifies another geometric entity.
-
B.
hasGeometry
chosen
Indicates that an entity is associated with a specific geometric representation or spatial form.
-
C.
geometricInterpretation
Indicates a relationship where one entity provides or embodies a geometric meaning, representation, or visualization of another entity.
-
D.
testGeometry
Indicates that an entity is involved in evaluating, validating, or analyzing geometric properties, shapes, or spatial relationships.
-
E.
isGeometric
Indicates that something has the properties or form of a geometric figure, pattern, or 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_69c6882b3a108190b3a9eb343ae4162c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6c07cdf048190945ca5810fb1de88 |
completed | March 27, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c6acfb462481909cb7aff5af4bca9d |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:54 p.m.