Triple

T17122410
Position Surface form Disambiguated ID Type / Status
Subject Newton’s bucket argument E415500 entity
Predicate hasExampleSetup P49902 FINISHED
Object bucket suspended by a rope 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: bucket suspended by a rope | Statement: [Newton’s bucket argument, hasExampleSetup, bucket suspended by a rope]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasExampleSetup
Context triple: [Newton’s bucket argument, hasExampleSetup, bucket suspended by a rope]
  • A. hasExample
    Indicates that one entity serves as an instance, illustration, or concrete example of another entity.
  • B. hasExampleType
    Indicates that something is associated with a specific type or category of example that characterizes or illustrates it.
  • C. hasNonExample
    Indicates that something is associated with an instance that explicitly does not satisfy or illustrate a given concept, rule, or category.
  • D. hasDemonstration chosen
    Indicates that one entity includes, is accompanied by, or is associated with a demonstration or illustrative example of another entity or concept.
  • E. hasExampleSurname
    Indicates that an entity is associated with a sample or illustrative surname used as an example rather than a real or primary family name.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3e80ac2cc819084fab829917c950a completed April 18, 2026, 8:22 p.m.
PD Predicate disambiguation batch_69e35d6d20808190a38bb32e2294bc48 completed April 18, 2026, 10:31 a.m.
Created at: April 10, 2026, 5:36 a.m.