Triple
T33320259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stiefel–Whitney classes |
E853116
|
entity |
| Predicate | topClass |
P176485
|
FINISHED |
| Object | w_n(E) for rank n bundle |
—
|
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) for rank n bundle | Statement: [Stiefel–Whitney classes, topClass, w_n(E) for rank n bundle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topClass Context triple: [Stiefel–Whitney classes, topClass, w_n(E) for rank n bundle]
-
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.
topper
Indicates that one entity is the highest-ranking or best-performing among a set, often in a competitive or comparative context.
-
C.
isTheHighestClassOf
Indicates that one entity represents the topmost or most advanced level within a hierarchy or classification to which the other entity belongs.
-
D.
topHas
Indicates that one entity possesses, contains, or is associated with another entity at the highest or most general level in a hierarchy or structure.
-
E.
primaryClass
Indicates that one entity is the main or principal classification category to which another entity belongs.
- 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_69f6e3156ea48190b604e414665ef351 |
completed | May 3, 2026, 5:54 a.m. |
| PD | Predicate disambiguation | batch_69f6de0b9ba48190887c9eb5d06a2e94 |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6e312d7fc819094dec41810f2585d |
completed | May 3, 2026, 5:54 a.m. |
Created at: May 1, 2026, 1:33 a.m.