Triple

T9062866
Position Surface form Disambiguated ID Type / Status
Subject Universal Intelligence: A Definition of Machine Intelligence E217169 entity
Predicate proposesMetric P66029 FINISHED
Object scalar intelligence measure for agents 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: scalar intelligence measure for agents | Statement: [Universal Intelligence: A Definition of Machine Intelligence, proposesMetric, scalar intelligence measure for agents]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: proposesMetric
Context triple: [Universal Intelligence: A Definition of Machine Intelligence, proposesMetric, scalar intelligence measure for agents]
  • A. proposes
    Indicates that one entity formally suggests or puts forward an idea, plan, or course of action to another entity for consideration or approval.
  • B. primaryMetric
    Indicates the main quantitative measure used to evaluate the performance, success, or impact of an entity or process relative to its goals.
  • C. metricType
    Indicates the specific category or kind of measurement that a given metric represents.
  • D. secondaryMetric
    Indicates that one metric serves as an additional, supporting measure used alongside a primary metric for evaluation or analysis.
  • E. hasNotableMetric chosen
    Indicates that an entity is associated with a specific metric or measurement that is considered significant or noteworthy in its context.
  • 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_69ca83d4425481909a319dab847724ec completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc94b9f28481909e20366b0e3d14aa completed April 1, 2026, 3:44 a.m.
PD Predicate disambiguation batch_69cc65f881248190bfd220bb28a9fb5f completed April 1, 2026, 12:25 a.m.
Created at: March 30, 2026, 7:11 p.m.