Triple
T5088448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No. 61 (Rust and Blue) |
E114693
|
entity |
| Predicate | hasRectangles |
P61230
|
FINISHED |
| Object | upper rectangle |
—
|
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: upper rectangle | Statement: [No. 61 (Rust and Blue), hasRectangles, upper rectangle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRectangles Context triple: [No. 61 (Rust and Blue), hasRectangles, upper rectangle]
-
A.
isRectangular
Indicates that an object or shape has the properties of a rectangle, typically with four sides and right angles between adjacent sides.
-
B.
hasQuadrants
Indicates that something is divided into four distinct sections or regions, typically arranged as quadrants.
-
C.
hasNumberOfSquares
Indicates that an entity is associated with a specific count of squares it contains or comprises.
-
D.
hasStraightLines
Indicates that the related entity possesses or is characterized by straight, non-curved lines.
-
E.
hasRightAngleIntersections
Indicates that the entities intersect each other at right (90-degree) angles.
- F. None of above. chosen
Provenance (4 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_69bd443e941881908eb4e8c685b6f656 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75219a94819094fc54c1df448470 |
completed | March 20, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69bd7159adc881909effd4382c395c66 |
completed | March 20, 2026, 4:10 p.m. |
| PDg | Predicate description generation | batch_69bd73b2c2808190b777e2c2a8a45d3f |
completed | March 20, 2026, 4:20 p.m. |
Created at: March 20, 2026, 1:40 p.m.