Triple
T6801998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On the Measurement of the Circle |
E156207
|
entity |
| Predicate | polygonSidesUsed |
P4093
|
FINISHED |
| Object | 96 |
—
|
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: 96 | Statement: [On the Measurement of the Circle, polygonSidesUsed, 96]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: polygonSidesUsed Context triple: [On the Measurement of the Circle, polygonSidesUsed, 96]
-
A.
numberOfSides
chosen
Indicates the relationship that specifies how many sides a given object or shape has.
-
B.
polygonCellsCause
Indicates that certain polygon-shaped cells bring about or are responsible for a particular effect or outcome in other entities or conditions.
-
C.
numberOfCurves
Indicates the relationship that specifies how many distinct curves are associated with or contained in a given entity.
-
D.
hasNumberOfTriangles
Indicates that an entity is associated with a specific count of triangles it contains or involves.
-
E.
hasRelatedPolygon
Indicates that one entity is associated with another entity that is represented or defined as a polygon.
- 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_69c68826e6a48190a3d220b541e639de |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2e714d4819084c8109c4de7de72 |
completed | March 27, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69c6d099bf08819089a9f9894d037e74 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:16 p.m.