Triple

T29580773
Position Surface form Disambiguated ID Type / Status
Subject Eternity E753570 entity
Predicate foundedInFictionalTime P16819 FINISHED
Object far future of humanity 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: far future of humanity | Statement: [Eternity, foundedInFictionalTime, far future of humanity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: foundedInFictionalTime
Context triple: [Eternity, foundedInFictionalTime, far future of humanity]
  • A. foundedInFictionalYear chosen
    Indicates that an entity was established or created in a year that exists only within a fictional or imaginary timeline, rather than in real-world history.
  • B. existsInFictionalTimePeriod
    Indicates that an entity is situated within, or associated with, a time period that is fictional rather than part of real-world history.
  • C. basedOnFictionalDateIn
    Indicates that something is derived from, inspired by, or determined using a fictional date occurring within a specified work, timeline, or fictional context.
  • D. endsInFictionalYear
    Indicates that an event, story, or timeline concludes in a year that exists only within a fictional or imagined setting.
  • E. fictionalTime
    Indicates that the associated time or temporal reference exists only within a fictional or imagined context, rather than in real-world chronology.
  • 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_69f0ef80bf8c8190ad286e99f7df0c63 completed April 28, 2026, 5:33 p.m.
NER Named-entity recognition batch_69fd0b92f42881908cd77e3f058adcc2 completed May 7, 2026, 10 p.m.
PD Predicate disambiguation batch_69fd0a3d68d4819094d92040f7c48d7c completed May 7, 2026, 9:55 p.m.
Created at: April 28, 2026, 6:06 p.m.