Triple
T3520357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VGG |
E74406
|
entity |
| Predicate | usesPoolingType |
P13064
|
FINISHED |
| Object | max pooling |
—
|
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: max pooling | Statement: [VGG, usesPoolingType, max pooling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesPoolingType Context triple: [VGG, usesPoolingType, max pooling]
-
A.
usesStrategy
chosen
Indicates that an entity intentionally applies a particular strategy or method to achieve a goal or perform an action.
-
B.
usesDialect
Indicates that one entity communicates or expresses itself using the specific dialect associated with another entity.
-
C.
usesSamplingOf
Indicates that one entity employs or relies on a sample or subset derived from another entity for its operation, analysis, or processing.
-
D.
usesLakeFor
Indicates that an entity utilizes a lake as a resource or setting for some purpose, activity, or function.
-
E.
deltaUse
Indicates a change in how something is used or the difference between two states of usage.
- 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_69ad85d0c5488190a3d8e02ebd01a1aa |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc4af70c8190a7471f28e1efd7fd |
completed | March 8, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69adae10689c8190b7dc6d7daa8295b6 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:19 p.m.