Triple

T2924667
Position Surface form Disambiguated ID Type / Status
Subject Computing Machinery and Intelligence E78813 entity
Predicate proposesTestFor P20235 FINISHED
Object machine intelligence 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: machine intelligence | Statement: [Computing Machinery and Intelligence, proposesTestFor, machine intelligence]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: proposesTestFor
Context triple: [Computing Machinery and Intelligence, proposesTestFor, machine intelligence]
  • A. testedFor
    Indicates that an entity has been examined or analyzed to determine the presence, absence, or level of another specified entity or condition.
  • B. appliedTest
    Indicates that a test has been administered or carried out on a particular subject or object.
  • C. proposes
    Indicates that one entity formally suggests or puts forward an idea, plan, or course of action to another entity for consideration or approval.
  • D. establishesTest chosen
    Indicates that an entity creates or sets up a test or testing procedure for another entity.
  • E. testsIn
    Indicates that one entity conducts or performs tests within, on, or using another 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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad97fd89d88190bc7db4b39058ae3a completed March 8, 2026, 3:38 p.m.
PD Predicate disambiguation batch_69ad9606e8348190bb19df33a2709674 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 2:55 p.m.