Triple

T29108386
Position Surface form Disambiguated ID Type / Status
Subject Differentiable Neural Computers E736824 entity
Predicate readOperation P93409 FINISHED
Object weighted sum of memory rows 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: weighted sum of memory rows | Statement: [Differentiable Neural Computers, readOperation, weighted sum of memory rows]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: readOperation
Context triple: [Differentiable Neural Computers, readOperation, weighted sum of memory rows]
  • A. readBy
    Indicates that a particular text, document, or content item has been read or consumed by a specific person or agent.
  • B. readReturns chosen
    Indicates that an entity returns or provides the result or output of a read operation on another entity.
  • C. readWith
    Indicates that one entity engages in reading an item together with another entity, implying a shared or joint reading activity.
  • D. readsFrom
    Indicates that one entity obtains or accesses data, information, or content from another entity as a source.
  • E. readBehavior
    Indicates that one entity engages in the act or manner of reading something, capturing how that reading is performed or characterized.
  • 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.