Triple
T7338599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PSL(2,ℤ) |
E169191
|
entity |
| Predicate | hasUnderlyingSet |
P77176
|
FINISHED |
| Object | 2×2 integer matrices with determinant 1 modulo ±I |
—
|
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: 2×2 integer matrices with determinant 1 modulo ±I | Statement: [PSL(2,ℤ), hasUnderlyingSet, 2×2 integer matrices with determinant 1 modulo ±I]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUnderlyingSet Context triple: [PSL(2,ℤ), hasUnderlyingSet, 2×2 integer matrices with determinant 1 modulo ±I]
-
A.
hasDistinctSetFor
Indicates that one entity is associated with a separate, non-overlapping collection of items or elements specifically designated for another entity.
-
B.
hasSubset
Indicates that one set is entirely contained within another set, with all elements of the first set also belonging to the second.
-
C.
areSupersetOf
Indicates that one set contains all elements of another set, possibly along with additional elements.
-
D.
hasUnionRepresentation
Indicates that an entity is represented by a labor union in negotiations or employment-related matters.
-
E.
canonicalSetIncludes
Indicates that a canonical or standard set contains the referenced element as one of its members.
- 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_69c68a57710481909f0c1f3c6ebdb6f2 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f347f25081908e6086d4073295f5 |
completed | March 27, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c6f028fd748190b2ea5c3081958a42 |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f3463d0481908aed9ed43a8ac6a8 |
completed | March 27, 2026, 9:14 p.m. |
Created at: March 27, 2026, 3:04 p.m.