Triple
T38538494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whitehead group |
E924762
|
entity |
| Predicate | constructedAsQuotientOf |
P97909
|
FINISHED |
| Object | K1(Z[G]) |
—
|
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: K1(Z[G]) | Statement: [Whitehead group, constructedAsQuotientOf, K1(Z[G])]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constructedAsQuotientOf Context triple: [Whitehead group, constructedAsQuotientOf, K1(Z[G])]
-
A.
isQuotientOf
Indicates that one quantity is the result of dividing another quantity by a specified divisor.
-
B.
quotientedBy
chosen
Indicates that one structure or set is formed from another by identifying elements according to an equivalence relation or partition, yielding a quotient.
-
C.
quotientIs
Indicates that one entity is the result of dividing another entity by a specified divisor (i.e., it represents the quotient in a division relationship).
-
D.
isSubquotientOf
Indicates that one object can be obtained from another by first taking a subobject and then forming a quotient of that subobject.
-
E.
hasQuotientOrder
Indicates that one entity is ordered according to the quotient (or division result) derived from another entity or pair of entities.
- 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_69f76eadeac081909cdfdd0474cb6765 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe6c811bcc81908b1e1b1f8bcb071b |
completed | May 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69fe6c026d5481908b7a814dcf38c183 |
completed | May 8, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:32 p.m.