Triple
T444417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ethics (Spinoza) |
E10185
|
entity |
| Predicate | structureStyle |
P13268
|
FINISHED |
| Object | geometric method |
—
|
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: geometric method | Statement: [Ethics (Spinoza), structureStyle, geometric method]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: structureStyle Context triple: [Ethics (Spinoza), structureStyle, geometric method]
-
A.
architecturalStyle
Indicates the architectural design tradition, movement, or style that characterizes the form and appearance of a structure or built work.
-
B.
deformationStyle
Indicates the manner or pattern in which an object or material is deformed under applied forces or conditions.
-
C.
usedWithStyle
Indicates that something is employed or applied in conjunction with a particular style or stylistic manner.
-
D.
shape
Indicates that one entity has a particular geometric or physical form characterized by the other entity.
-
E.
viaStructure
Indicates that one entity is connected to or accessed through a particular structural element or medium.
- 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef459800819083cd9eef3e7b5295 |
completed | Feb. 28, 2026, 1:36 p.m. |
| PD | Predicate disambiguation | batch_69a2edde2b9c8190bd20b582eb4c5065 |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2eeb9e6b0819093863959a6e5730a |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.