Triple
T11003341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation |
E260052
|
entity |
| Predicate | preNeuralMTContext |
P36
|
FINISHED |
| Object | designed to augment phrase-based statistical machine translation systems |
—
|
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: designed to augment phrase-based statistical machine translation systems | Statement: [Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation, preNeuralMTContext, designed to augment phrase-based statistical machine translation systems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preNeuralMTContext Context triple: [Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation, preNeuralMTContext, designed to augment phrase-based statistical machine translation systems]
-
A.
context
chosen
Indicates that one entity provides the surrounding circumstances, setting, or background within which another entity, event, or statement occurs or is interpreted.
-
B.
pretext
Indicates that one party uses a stated reason or excuse to conceal their true motive for an action or decision.
-
C.
preStatePrecursor
Indicates that one state or condition serves as a precursor to, or exists immediately before, another state in a process or sequence.
-
D.
pretrainingRole
Indicates the role or function an entity serves specifically during a pretraining phase or process.
-
E.
previousLabelContext
Indicates that something occurs or is defined in the context of the label that immediately precedes it in sequence or structure.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797546f448190946ee6442d657dc5 |
completed | April 9, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69d72e96be6c8190a46c69f61b2d8cd4 |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:25 p.m.