Triple
T33320260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stiefel–Whitney classes |
E853116
|
entity |
| Predicate | topClassProperty |
P176813
|
FINISHED |
| Object | w_n(E) is the mod 2 Euler class |
—
|
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: w_n(E) is the mod 2 Euler class | Statement: [Stiefel–Whitney classes, topClassProperty, w_n(E) is the mod 2 Euler class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topClassProperty Context triple: [Stiefel–Whitney classes, topClassProperty, w_n(E) is the mod 2 Euler class]
-
A.
topClassOf
Indicates that one class is the most general or highest-level superclass from which another class (or set of classes) ultimately derives.
-
B.
topClass
Indicates that an entity is the most general or highest-level class in a classification or hierarchy, with all other classes falling under it.
-
C.
propertyTypeOf
Indicates that one entity is the type or category of property to which another entity belongs.
-
D.
identifiesPropertyOf
Indicates that one entity specifies or denotes a particular property or attribute belonging to another entity.
-
E.
structureProperty
Indicates that one entity has a structural attribute, feature, or characteristic that describes how it is organized or composed.
- 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_69f349685f088190b8fda44083a018a9 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69f6f37f36ac8190b1bff8711d6771cb |
completed | May 3, 2026, 7:04 a.m. |
Created at: May 1, 2026, 1:33 a.m.