Triple
T4651113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transformer |
E102296
|
entity |
| Predicate | reducedRelianceOn |
P9925
|
FINISHED |
| Object | convolutional neural networks in sequence modeling |
—
|
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: convolutional neural networks in sequence modeling | Statement: [Transformer, reducedRelianceOn, convolutional neural networks in sequence modeling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reducedRelianceOn Context triple: [Transformer, reducedRelianceOn, convolutional neural networks in sequence modeling]
-
A.
reliedOn
Indicates that one entity depends on another for support, resources, or functionality.
-
B.
reduces
chosen
Indicates that one entity causes a decrease in the amount, intensity, degree, or impact of another entity.
-
C.
reducedSovereigntyOf
Indicates that one entity has diminished, constrained, or otherwise limited the sovereignty or autonomous decision-making power of another entity.
-
D.
independenceFrom
Indicates that one entity is not controlled, governed, or significantly influenced by another entity.
-
E.
relievedBy
Indicates that one entity eases, reduces, or removes the burden, pain, stress, or responsibility experienced by another entity.
- 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_69bd43d71a308190afea7280841b0de8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6632708c8190b627d99363ab062c |
completed | March 20, 2026, 3:22 p.m. |
| PD | Predicate disambiguation | batch_69bd620fc5e081908325ac8e6a6384ab |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:14 p.m.