Triple

T20166219
Position Surface form Disambiguated ID Type / Status
Subject Hyrule E491829 entity
Predicate hasTimelineVariations P111585 FINISHED
Object Yes 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: Yes | Statement: [Hyrule, hasTimelineVariations, Yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTimelineVariations
Context triple: [Hyrule, hasTimelineVariations, Yes]
  • A. hasChangedOverTime
    Indicates that the state, value, or characteristics of an entity or relationship have become different at some point across a period of time.
  • B. hasAlternateTimeline chosen
    Indicates that an entity exists or occurs in a different possible or parallel timeline relative to another reference timeline.
  • C. alternateTimelineVersionAppearsIn
    Indicates that an alternate-timeline version of an entity appears or is present within a specified context, such as a work, scene, or universe.
  • D. hasHistoricity
    Indicates that something possesses historical existence, significance, or authenticity, rather than being purely fictional, mythical, or timeless.
  • E. hasAlternateTimelineConnectionWith
    Indicates a relationship where two entities are linked through an alternate or parallel timeline, allowing events or states in one timeline to correspond to or influence those in the other.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66844e49081909b7e9ec2b65cc61d completed April 20, 2026, 5:54 p.m.
PD Predicate disambiguation batch_69e55b0c11cc8190836d1eee5945f000 completed April 19, 2026, 10:45 p.m.
Created at: April 11, 2026, 11:35 p.m.