Triple
T26254978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PSL(2,ℤ/Nℤ) |
E656691
|
entity |
| Predicate | isOfLieType |
P160151
|
FINISHED |
| Object | A₁ over ℤ/Nℤ (for N prime power, via corresponding field) |
—
|
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: A₁ over ℤ/Nℤ (for N prime power, via corresponding field) | Statement: [PSL(2,ℤ/Nℤ), isOfLieType, A₁ over ℤ/Nℤ (for N prime power, via corresponding field)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOfLieType Context triple: [PSL(2,ℤ/Nℤ), isOfLieType, A₁ over ℤ/Nℤ (for N prime power, via corresponding field)]
-
A.
liesToThe
Indicates that one entity intentionally provides false or misleading information to another entity.
-
B.
hasLie
Indicates that an entity is associated with or responsible for a specific lie or false statement.
-
C.
liesUpon
Indicates that one entity is positioned resting directly on the surface of another entity.
-
D.
typeOfDeception
Indicates the specific kind or category of deceptive act that one entity employs toward another or in a given context.
-
E.
isNotType
Indicates that one entity is explicitly not of a specified type or category in relation to another.
- 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.