Triple
T28615561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellipse |
E724264
|
entity |
| Predicate | circleCondition |
P164924
|
FINISHED |
| Object | occurs when bounding rectangle is a square |
—
|
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: occurs when bounding rectangle is a square | Statement: [Ellipse, circleCondition, occurs when bounding rectangle is a square]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: circleCondition Context triple: [Ellipse, circleCondition, occurs when bounding rectangle is a square]
-
A.
circleType
Indicates the specific classification or category of a circle within a given context or system.
-
B.
circles
Indicates that one entity moves around another entity along a roughly circular path or orbit.
-
C.
hasCircle
Indicates that one entity possesses, contains, or includes a circle as part of its structure or composition.
-
D.
circleTheme
Indicates that one entity serves as the central topic, subject, or unifying idea around which the other entity (a circle, group, or context) is organized or focused.
-
E.
isOnOuterCircle
Indicates that one entity is positioned on the outer boundary or perimeter of a circular arrangement relative to another entity or reference point.
- 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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651aad92c8190b874b3b5f9f64434 |
completed | May 2, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69f652a3a8208190a4fdd66f34138bd2 |
completed | May 2, 2026, 7:38 p.m. |
Created at: April 28, 2026, 4:31 a.m.