Triple
T21763297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max-3-SAT |
E537214
|
entity |
| Predicate | expectedSatisfiedFractionUnderRandomAssignment |
P145843
|
FINISHED |
| Object | 7/8 |
—
|
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: 7/8 | Statement: [Max-3-SAT, expectedSatisfiedFractionUnderRandomAssignment, 7/8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: expectedSatisfiedFractionUnderRandomAssignment Context triple: [Max-3-SAT, expectedSatisfiedFractionUnderRandomAssignment, 7/8]
-
A.
junctionCountApprox
Indicates an approximate count of junctions or connection points involved in or associated with the given entities.
-
B.
holdsApproximatelyFor
Indicates that a condition, relation, or value is valid only to an approximate degree or within a tolerance, rather than holding exactly.
-
C.
reservationPercentage
Indicates the proportion of a resource, capacity, or allocation that is reserved relative to its total available amount.
-
D.
mineCountApproximate
Indicates that the number of mines associated with an entity is estimated or roughly counted rather than known exactly.
-
E.
holdsAlmostSurely
Indicates that the specified property or event occurs with probability 1, i.e., it is true almost everywhere except possibly on a set of outcomes of probability zero.
- 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031a711dc8190a786c9849dc344e8 |
completed | April 28, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69e6be6299988190a34c98fa76d94700 |
completed | April 21, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69e6d054737081908aa7112975b77475 |
completed | April 21, 2026, 1:18 a.m. |
Created at: April 16, 2026, 6:51 p.m.