Triple
T34585658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S^2 × R geometry |
E888036
|
entity |
| Predicate | typicalCompactQuotient |
P199468
|
FINISHED |
| Object | S^2-bundle over S^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: S^2-bundle over S^1 | Statement: [S^2 × R geometry, typicalCompactQuotient, S^2-bundle over S^1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCompactQuotient Context triple: [S^2 × R geometry, typicalCompactQuotient, S^2-bundle over S^1]
-
A.
admitsCompactQuotients
Indicates that the given object (typically a space or structure) has at least one quotient by a suitable equivalence relation or group action that is compact.
-
B.
hasTypicalQuotient
chosen
Indicates that one entity is the standard or characteristic quotient value typically associated with another entity.
-
C.
quotientedBy
Indicates that one structure or set is formed from another by identifying elements according to an equivalence relation or partition, yielding a quotient.
-
D.
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).
-
E.
compactificationTarget
Indicates that one entity serves as the target space or resulting structure obtained by compactifying the other entity.
- 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_69f349d25cbc8190869998de5915886b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 2:03 a.m.