Triple
T7874861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Layer Normalization |
E182824
|
entity |
| Predicate | appliesOperation |
P24
|
FINISHED |
| Object | centering by subtracting feature mean |
—
|
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: centering by subtracting feature mean | Statement: [Layer Normalization, appliesOperation, centering by subtracting feature mean]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesOperation Context triple: [Layer Normalization, appliesOperation, centering by subtracting feature mean]
-
A.
performsOperation
chosen
Indicates that one entity carries out or executes a specific operation on or for another entity.
-
B.
operationOf
Indicates that one entity is the function, activity, or process carried out by another entity (such as a system, device, or organization).
-
C.
appliesOver
Indicates that one entity’s effect, rule, or condition extends across or is valid for a specified range, domain, or set of entities.
-
D.
subOperation
Indicates that one operation functions as a subordinate or component part of another, larger operation.
-
E.
operateIn
Indicates that an entity performs its activities, functions, or services within a specified location, context, or domain.
- 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_69ca828a17248190b46defe758bc5ad3 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39a961188190b2f12f8fe5d66641 |
completed | March 31, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69cae928e1b88190b0620f4c4f03bc7d |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:56 p.m.