Triple
T26255015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SL(2,ℤ) |
E656692
|
entity |
| Predicate | PSL2ZPresentation |
P160155
|
FINISHED |
| Object | ⟨S̄,T̄ | S̄^2 = (S̄T̄)^3 = 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: ⟨S̄,T̄ | S̄^2 = (S̄T̄)^3 = 1⟩ | Statement: [SL(2,ℤ), PSL2ZPresentation, ⟨S̄,T̄ | S̄^2 = (S̄T̄)^3 = 1⟩]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PSL2ZPresentation Context triple: [SL(2,ℤ), PSL2ZPresentation, ⟨S̄,T̄ | S̄^2 = (S̄T̄)^3 = 1⟩]
-
A.
magicPresentation
Indicates that an entity performs or is involved in a magical display, demonstration, or show for an audience.
-
B.
powerPoints
Indicates that one entity has a certain amount or allocation of power points (a quantified resource of power or energy) associated with it.
-
C.
presentationContext
Indicates the situational setting or environment in which a presentation, display, or communication of something takes place.
-
D.
presentsView
Indicates that one entity displays or renders another entity as a view or visual interface to a user.
-
E.
presentation
Indicates that one entity formally shows, explains, or demonstrates something (such as information, ideas, or a product) to an audience or another entity.
- 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_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. |
| PDg | Predicate description generation | batch_69f5ffc6268c8190b63f6360ebadab73 |
completed | May 2, 2026, 1:44 p.m. |
Created at: April 26, 2026, 9:08 p.m.