Triple
T27762377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Instance Normalization |
E701501
|
entity |
| Predicate | computesStatisticsPer |
P128869
|
FINISHED |
| Object | channel |
—
|
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: channel | Statement: [Instance Normalization, computesStatisticsPer, channel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: computesStatisticsPer Context triple: [Instance Normalization, computesStatisticsPer, channel]
-
A.
hasStatistics
Indicates that an entity is associated with one or more statistical measures, records, or summaries describing its quantitative properties or performance.
-
B.
bulkStatistics
chosen
Indicates a relationship where aggregated or summary statistical information is computed or provided for multiple items or entities at once.
-
C.
sufficientStatistic
Indicates that one variable or set of variables contains all the information needed from the data to infer or estimate another variable or parameter, making the rest of the data irrelevant for that purpose.
-
D.
hasStatisticalFunctions
Indicates that one entity provides or supports statistical operations or capabilities for another entity.
-
E.
testStatisticDistribution
Indicates the probability distribution that a test statistic follows under specified conditions or hypotheses.
- 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_69ef6a5193808190816eb7d0020b2d87 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f643ed0b7481908cf25f3afec0a61d |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641dc8ff48190ab575d855616580c |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 4:28 p.m.