Triple
T5570783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fermat curve |
E146193
|
entity |
| Predicate | BelyiType |
P64884
|
FINISHED |
| Object | three-point branched cover of ℙ¹ |
—
|
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: three-point branched cover of ℙ¹ | Statement: [Fermat curve, BelyiType, three-point branched cover of ℙ¹]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BelyiType Context triple: [Fermat curve, BelyiType, three-point branched cover of ℙ¹]
-
A.
oreType
Indicates the specific kind or classification of ore associated with an entity.
-
B.
eraType
Indicates the classification of a time period or era according to its type or category.
-
C.
rimType
Indicates the specific style or configuration of a rim associated with an object or component.
-
D.
seeType
Indicates that one entity observes, recognizes, or visually perceives another entity of a particular type or category.
-
E.
typeOfFigure
Indicates that one entity is a specific kind or category of geometric figure relative to another.
- 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_69c008ffed108190a084602227af6157 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020502a288190af37f9ebb88fccae |
completed | March 22, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69c01b12826c8190969a584d0f53aa44 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f4032408190a4f0d2eb21ebd870 |
completed | March 22, 2026, 4:56 p.m. |
Created at: March 22, 2026, 3:37 p.m.