Triple
T36640363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SL(2,7) |
E904566
|
entity |
| Predicate | is2FoldCoverOf |
P78393
|
FINISHED |
| Object | PSL(2,7) |
—
|
NE NERFINISHED |
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: PSL(2,7) | Statement: [SL(2,7), is2FoldCoverOf, PSL(2,7)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: is2FoldCoverOf Context triple: [SL(2,7), is2FoldCoverOf, PSL(2,7)]
-
A.
isCoverOf
Indicates that one entity functions as a protective or enclosing layer placed over another entity.
-
B.
isDoubleCoverOf
chosen
Indicates that one object serves as a two-to-one covering of another, such that each point or element of the second is covered by exactly two corresponding points or elements of the first.
-
C.
isCover
Indicates that one entity functions as a protective or concealing layer over another entity.
-
D.
canFold
Indicates that one entity has the ability to be bent or collapsed into a more compact form, typically without breaking.
-
E.
containsCoverOf
Indicates that one entity includes within it a cover or covering representation of another 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_69f76e6c63e48190b1d0c3a79a6c7406 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c477a4d481908f52e55b6688f60c |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:11 p.m.