Triple
T3520373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VGG |
E74406
|
entity |
| Predicate | usesFullyConnectedLayersAtEnd |
P48114
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [VGG, usesFullyConnectedLayersAtEnd, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesFullyConnectedLayersAtEnd Context triple: [VGG, usesFullyConnectedLayersAtEnd, true]
-
A.
hasEnding
Indicates that one entity concludes with, or terminates in, another entity (such as a specific substring, segment, or final component).
-
B.
hasFinalFormUsage
Indicates that an entity is used or appears in its ultimate, completed, or final form within a given context or process.
-
C.
canBeFineTuned
Indicates that one entity (typically a model or system) is capable of being further trained or adjusted using additional data or tasks to improve or specialize its behavior.
-
D.
hasEnd
Indicates that one entity serves as the terminal point, boundary, or conclusion of another entity or process.
-
E.
hasFinalAssemblyLine
Indicates that one entity serves as the final assembly line where another entity’s components or subassemblies are brought together and completed.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69adaed7f2ec819085467d281712e0e8 |
completed | March 8, 2026, 5:16 p.m. |
Created at: March 8, 2026, 3:19 p.m.