Triple
T26255002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SL(2,ℤ) |
E656692
|
entity |
| Predicate | determinantCondition |
P119653
|
FINISHED |
| Object | determinant = 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: determinant = 1 | Statement: [SL(2,ℤ), determinantCondition, determinant = 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: determinantCondition Context triple: [SL(2,ℤ), determinantCondition, determinant = 1]
-
A.
determinantProperty
Indicates that one property or factor determines, governs, or decisively influences another property or outcome.
-
B.
determinant
chosen
Indicates that a particular factor or condition has a decisive influence on the outcome, state, or behavior of another entity.
-
C.
diagonalCondition
Indicates that a specified relationship or constraint holds between elements positioned along a diagonal (such as in a matrix, grid, or board).
-
D.
hasDeterminant
Indicates that one entity functions as a determiner (e.g., article, demonstrative, quantifier) specifying or limiting the reference of another entity, typically a noun or noun phrase.
-
E.
conditionOnCoefficients
Indicates that one entity’s state, validity, or behavior is determined by or contingent upon the values of certain coefficients.
- 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_69ee5b4d25ac819086acb51184602576 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f60dcd2e688190b54e36b0ff0d9187 |
completed | May 2, 2026, 2:44 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 9:08 p.m.