Triple
T1382375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | construction of the regular 17-gon with straightedge and compass |
E29366
|
entity |
| Predicate | hasNumberOfSides |
P4093
|
FINISHED |
| Object | 17 |
—
|
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: 17 | Statement: [construction of the regular 17-gon with straightedge and compass, hasNumberOfSides, 17]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfSides Context triple: [construction of the regular 17-gon with straightedge and compass, hasNumberOfSides, 17]
-
A.
numberOfSides
chosen
Indicates the relationship that specifies how many sides a given object or shape has.
-
B.
hasNumberOfSquares
Indicates that an entity is associated with a specific count of squares it contains or comprises.
-
C.
hasNumberOfSpokes
Indicates the relationship that specifies how many spokes are present in or associated with an object.
-
D.
hasNumberOfTriangles
Indicates that an entity is associated with a specific count of triangles it contains or involves.
-
E.
hasTriangle
Indicates that an entity possesses, contains, or is associated with a triangle.
- 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_69a498d883a48190bfdca525296ef7ee |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c3361bf08190b3f6bbf82e17685b |
completed | March 1, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69a4befe343c81909f758440a531b5be |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.