Triple
T6832744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disquisitiones Generales Circa Superficies Curvas |
E157377
|
entity |
| Predicate | developedTheoryOf |
P47923
|
FINISHED |
| Object | curved surfaces |
—
|
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: curved surfaces | Statement: [Disquisitiones Generales Circa Superficies Curvas, developedTheoryOf, curved surfaces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: developedTheoryOf Context triple: [Disquisitiones Generales Circa Superficies Curvas, developedTheoryOf, curved surfaces]
-
A.
developsTheory
chosen
Indicates that one entity formulates, elaborates, or advances a theoretical framework or explanation concerning another entity.
-
B.
hasTheory
Indicates that an entity possesses, is associated with, or is characterized by a particular theory.
-
C.
theorized
Indicates that one entity has proposed or developed a theoretical explanation or hypothesis about another entity or phenomenon.
-
D.
governingTheory
Indicates that one entity serves as the primary theoretical framework or principle that explains, constrains, or directs the behavior, interpretation, or operation of another entity.
-
E.
presentsTheory
Indicates that one entity formally puts forward or explains a theory to another entity or audience.
- 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_69c6882c53608190b99aebef079b23bd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d62b1e8c8190a81d91191a54b073 |
completed | March 27, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69c6d09d95f0819091ca7f897dc21efe |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:18 p.m.