Triple
T17385772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bennett–Brassard 1984 protocol |
E422682
|
entity |
| Predicate | typicalErrorThreshold |
P14326
|
FINISHED |
| Object | approximately 11 percent for individual attacks |
—
|
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: approximately 11 percent for individual attacks | Statement: [Bennett–Brassard 1984 protocol, typicalErrorThreshold, approximately 11 percent for individual attacks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalErrorThreshold Context triple: [Bennett–Brassard 1984 protocol, typicalErrorThreshold, approximately 11 percent for individual attacks]
-
A.
thresholdFor
chosen
Indicates that one entity specifies the minimum or limiting value at which a condition, effect, or state involving another entity begins to occur or change.
-
B.
typicalPerformanceSetting
Indicates the usual or most common context, venue, or environment in which a performance or activity typically takes place.
-
C.
top5ErrorRate
Indicates the proportion of instances where the correct answer is not among the top five predicted results.
-
D.
errorReductionGoal
Indicates that an entity has a target or objective to decrease the number or rate of errors relative to a current or baseline level.
-
E.
typicalExponent
Indicates that one quantity serves as the characteristic or standard exponent associated with another quantity or expression.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a89c5008190a277a68e5cfe67b7 |
completed | April 19, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_69e3b02ac8688190a7182f1b2151d721 |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:45 a.m.