Triple
T29108385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Differentiable Neural Computers |
E736824
|
entity |
| Predicate | writeOperation |
P12126
|
FINISHED |
| Object | erase and add vectors |
—
|
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: erase and add vectors | Statement: [Differentiable Neural Computers, writeOperation, erase and add vectors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writeOperation Context triple: [Differentiable Neural Computers, writeOperation, erase and add vectors]
-
A.
writingOutput
Indicates that one entity produces or generates written content as an output, typically as the result of a writing or text-creation process.
-
B.
writesSystem
Indicates that an entity authors or produces a system, such as designing, coding, or otherwise creating it.
-
C.
writeStrategy
Indicates that one entity develops or composes a plan or method for achieving a particular goal or outcome for another entity or context.
-
D.
inOperation
Indicates that an entity (such as a system, device, or facility) is currently active, functioning, and performing its intended operation.
-
E.
operationOf
chosen
Indicates that one entity is the function, activity, or process carried out by another entity (such as a system, device, or organization).
- 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_69f077ec765c81909474c88bcc8bab43 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f661bc4db08190bd91745a1ebfc2ae |
completed | May 2, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 11:17 a.m.