Triple

T30338111
Position Surface form Disambiguated ID Type / Status
Subject Deep contextualized word representations E771674 entity
Predicate demonstratesImprovementOn P6555 FINISHED
Object question answering 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: question answering | Statement: [Deep contextualized word representations, demonstratesImprovementOn, question answering]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: demonstratesImprovementOn
Context triple: [Deep contextualized word representations, demonstratesImprovementOn, question answering]
  • A. improvesOn chosen
    Indicates that one entity enhances, refines, or performs better than another entity, typically by addressing its limitations or increasing its effectiveness.
  • B. improvesIn
    Indicates that one entity causes or contributes to an increase in quality, performance, or effectiveness in another entity or context.
  • C. hasImproved
    Indicates that an entity’s state, quality, or performance has become better compared to a previous point in time.
  • D. seeksToImprove
    Indicates an intentional effort by one entity to make another entity or condition better than its current state.
  • E. demonstratedBy
    Indicates that something is shown, proven, or made evident through the actions, behavior, or example of a particular 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_69f2248aba24819095bb86480d55b23b completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f681cf69588190b1a6373ddf29dd6a completed May 2, 2026, 10:59 p.m.
PD Predicate disambiguation batch_69f67603526c81908295a1ece8727c66 completed May 2, 2026, 10:09 p.m.
Created at: April 29, 2026, 7:54 p.m.