Triple
T36932248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | nine-point circle |
E913509
|
entity |
| Predicate | homothetyRatio |
P70383
|
FINISHED |
| Object | 1/2 |
—
|
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: 1/2 | Statement: [nine-point circle, homothetyRatio, 1/2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homothetyRatio Context triple: [nine-point circle, homothetyRatio, 1/2]
-
A.
radiusRatio
Indicates the proportional relationship between one radius and another, typically expressing how large one is relative to the other.
-
B.
円の直径比率
Indicates the proportional relationship between a circle’s diameter and another referenced measure (such as another diameter or a standard length).
-
C.
isProportionalityFactorIn
chosen
Indicates that one quantity serves as the proportionality factor (constant of proportionality) in a specified proportional relationship or equation.
-
D.
sideRatioLength
Indicates the proportional relationship between the lengths of two or more sides in a geometric figure.
-
E.
isProportionalTo
Indicates that one quantity varies in constant ratio to another, so when one changes, the other changes by a fixed multiplicative factor.
- 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_69f76e896c988190880c130e01303dd4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:13 p.m.