Triple

T17310692
Position Surface form Disambiguated ID Type / Status
Subject Novacene epoch E420285 entity
Predicate potentialConsequence P92478 FINISHED
Object machine-optimized climate regulation 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-optimized climate regulation | Statement: [Novacene epoch, potentialConsequence, machine-optimized climate regulation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: potentialConsequence
Context triple: [Novacene epoch, potentialConsequence, machine-optimized climate regulation]
  • A. hasConsequence
    Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
  • B. hasConsequenceHypothesis chosen
    Indicates that one situation, event, or statement is hypothesized to lead to or imply a particular consequence.
  • C. announcedConsequence
    Indicates that one entity has publicly stated or declared a specific outcome or consequence that will result from an action, event, or condition.
  • D. possibleSideEffect
    Indicates that one entity may occur as a side effect or unintended consequence of another entity or action.
  • E. significantEventConsequence
    Indicates that one event leads to an important or impactful consequence for another event, state, or 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4399837b08190b7cf74201b3cb013 completed April 19, 2026, 2:10 a.m.
PD Predicate disambiguation batch_69e3b01b9d1c8190a406dd941c9b11a1 completed April 18, 2026, 4:23 p.m.
Created at: April 10, 2026, 5:43 a.m.