Triple

T32552662
Position Surface form Disambiguated ID Type / Status
Subject the Machines E832014 entity
Predicate usesAsEnergySource P93282 FINISHED
Object human bodies 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: human bodies | Statement: [the Machines, usesAsEnergySource, human bodies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesAsEnergySource
Context triple: [the Machines, usesAsEnergySource, human bodies]
  • A. usesEnergyFrom chosen
    Indicates that one entity derives or consumes energy originating from another entity as its source.
  • B. usesEnergy
    Indicates that one entity consumes or relies on some form of energy to function, operate, or perform an action.
  • C. usesEnergyConversion
    Indicates that an entity performs or involves a process where one form of energy is transformed into another to achieve a function or outcome.
  • D. usesEnergyForm
    Indicates that an entity operates by drawing on or relying upon a particular form or type of energy.
  • E. derivesPowerFrom
    Indicates that one entity obtains or is granted its power, authority, or energy as a result of 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_69f34926b9848190ace47d2dd0a0de7c completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f74c70fd248190a9d5543afcb08211 completed May 3, 2026, 1:24 p.m.
PD Predicate disambiguation batch_69f7478e3b548190a51d5d436e2bb036 completed May 3, 2026, 1:03 p.m.
Created at: May 1, 2026, 1:02 a.m.