Triple
T27762328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batch Normalization |
E701500
|
entity |
| Predicate | commonPlacement |
P140594
|
FINISHED |
| Object | before activation function |
—
|
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: before activation function | Statement: [Batch Normalization, commonPlacement, before activation function]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonPlacement Context triple: [Batch Normalization, commonPlacement, before activation function]
-
A.
canonicalPlacement
chosen
Indicates the standard or preferred position or arrangement of one entity relative to another within a defined structure or system.
-
B.
placementIn
Indicates that one entity is located or positioned within the spatial or structural bounds of another entity.
-
C.
designedToPlace
Indicates that something is intentionally created or configured for the purpose of positioning or setting another entity in a specific place or arrangement.
-
D.
typicalStorePlacement
Indicates the usual or standard physical location where an item is placed or displayed within a store.
-
E.
organizationalPlacement
Indicates how an entity is positioned or situated within an organization’s structure or hierarchy.
- 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_69f78c61ed4c8190ad84c918fa9af55a |
completed | May 3, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
Created at: April 27, 2026, 4:28 p.m.