Triple
T3520370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VGG |
E74406
|
entity |
| Predicate | achievedStateOfTheArtOn |
P1518
|
FINISHED |
| Object | ImageNet 2014 classification task |
—
|
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: ImageNet 2014 classification task | Statement: [VGG, achievedStateOfTheArtOn, ImageNet 2014 classification task]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: achievedStateOfTheArtOn Context triple: [VGG, achievedStateOfTheArtOn, ImageNet 2014 classification task]
-
A.
achieved
chosen
Indicates that an entity successfully reached, obtained, or accomplished a specified goal, result, or state.
-
B.
firstToAchieve
Indicates that one entity was the earliest or initial entity to accomplish or attain a specified goal, status, or outcome before any others.
-
C.
trainedAs
Indicates that one entity has received education or instruction to perform the role, profession, or function represented by another entity.
-
D.
hasNotablePerformanceIn
Indicates that an entity delivered a significant or distinguished performance within a specified work, event, or context.
-
E.
speedAchieved
Indicates that a particular speed has been reached or attained by an entity during an event or action.
- 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.