Triple
T36640555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S5 |
E904571
|
entity |
| Predicate | hasQuotientIsomorphicTo |
P186433
|
FINISHED |
| Object | C2 |
—
|
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: C2 | Statement: [S5, hasQuotientIsomorphicTo, C2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasQuotientIsomorphicTo Context triple: [S5, hasQuotientIsomorphicTo, C2]
-
A.
isQuotientOf
Indicates that one quantity is the result of dividing another quantity by a specified divisor.
-
B.
hasQuotientOrder
Indicates that one entity is ordered according to the quotient (or division result) derived from another entity or pair of entities.
-
C.
hasQuotientMapFrom
chosen
Indicates that there exists a quotient map from one space or structure onto another, making the latter the quotient of the former under some equivalence relation or identification.
-
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.
hasQuotient
Indicates that one quantity or entity is the result of dividing another quantity or entity by a specified divisor.
- 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_69f76e6c63e48190b1d0c3a79a6c7406 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:11 p.m.