Triple
T36490175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neural Machine Translation by Jointly Learning to Align and Translate |
E899030
|
entity |
| Predicate | attentionScoreFunction |
P185597
|
FINISHED |
| Object | feedforward neural network |
—
|
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: feedforward neural network | Statement: [Neural Machine Translation by Jointly Learning to Align and Translate, attentionScoreFunction, feedforward neural network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attentionScoreFunction Context triple: [Neural Machine Translation by Jointly Learning to Align and Translate, attentionScoreFunction, feedforward neural network]
-
A.
rankingImpact
Indicates how an entity’s position or level in a ranking is affected or influenced by another factor or action.
-
B.
rankingAuthority
Indicates that one entity serves as the official source or body responsible for assigning rankings or ordered evaluations to another entity.
-
C.
rankSignificance
Indicates how important or influential one entity is relative to others within a specified context or ordering.
-
D.
relevanceIn
Indicates that something is pertinent or applicable within a specified context, scope, or domain.
-
E.
featuresScoreBy
Indicates a scoring relationship where a feature or set of features is evaluated and assigned a score according to a specified criterion or entity.
- 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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be9b9ab481908328e0e8d8ac73d4 |
completed | May 3, 2026, 9:31 p.m. |
Created at: May 3, 2026, 4:10 p.m.