Triple
T20404789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuchsian differential equation |
E500438
|
entity |
| Predicate | hasSingularities |
P4450
|
FINISHED |
| Object | regular singular points |
—
|
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: regular singular points | Statement: [Fuchsian differential equation, hasSingularities, regular singular points]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSingularities Context triple: [Fuchsian differential equation, hasSingularities, regular singular points]
-
A.
hasIsolatedSingularity
Indicates that a function has a singular point at which it is not analytic, but is analytic in some punctured neighborhood around that point.
-
B.
numberOfSingularPoints
Indicates the count of distinct singular (non-regular) points associated with a given mathematical object or structure.
-
C.
hasCoordinateSingularity
Indicates that something possesses a point or region where its coordinate description becomes undefined or degenerate, even if the underlying object or space may remain well-behaved.
-
D.
hasSingularityType
chosen
Indicates that an entity possesses or is characterized by a specific type or category of singularity.
-
E.
hasSingularSet
Indicates that an entity is associated with exactly one distinct set, rather than multiple sets or none.
- 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6799161c48190825eca3027d1aa51 |
completed | April 20, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_69e5765d7cb48190adec18d6d1e3d263 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:29 a.m.