Triple
T34545774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whitehead product |
E886920
|
entity |
| Predicate | nontrivialExample |
P179303
|
FINISHED |
| Object | [ι_n,ι_n] in π_{2n-1}(S^n) for n>1 |
—
|
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: [ι_n,ι_n] in π_{2n-1}(S^n) for n>1 | Statement: [Whitehead product, nontrivialExample, [ι_n,ι_n] in π_{2n-1}(S^n) for n>1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nontrivialExample
Context triple: [Whitehead product, nontrivialExample, [ι_n,ι_n] in π_{2n-1}(S^n) for n>1]
-
A.
nonExample
Indicates that something is explicitly identified as not being an example or instance of a given concept, category, or pattern.
-
B.
nontrivialWhen
Indicates that the timing or occurrence of an event or condition is significant or non-obvious, rather than simple or trivial.
-
C.
hasNonExample
Indicates that something is associated with an instance that explicitly does not satisfy or illustrate a given concept, rule, or category.
-
D.
extraExample
Indicates that something is provided as an additional, illustrative instance beyond the main or required examples.
-
E.
centralExample
Indicates that one entity serves as the primary or most representative example of another entity or concept.
- 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_69f349cff89081908f91e0b064f4833e |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f72020d0088190b143dc17763907dc |
completed | May 3, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69f71cc8074c81909ae09bea2acf1a09 |
completed | May 3, 2026, 10 a.m. |
| PDg | Predicate description generation | batch_69f71f8df5d48190944fbfbd9d573868 |
completed | May 3, 2026, 10:12 a.m. |
Created at: May 1, 2026, 2:02 a.m.