Triple

T5142100
Position Surface form Disambiguated ID Type / Status
Subject Kelvin Timeline E115974 entity
Predicate continuityRelationship P34778 FINISHED
Object branch of Star Trek canon created by temporal interference 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: branch of Star Trek canon created by temporal interference | Statement: [Kelvin Timeline, continuityRelationship, branch of Star Trek canon created by temporal interference]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: continuityRelationship
Context triple: [Kelvin Timeline, continuityRelationship, branch of Star Trek canon created by temporal interference]
  • A. laterRelationWith
    Indicates that one entity stands in a temporal relationship to another such that it occurs or exists at a later time than the other.
  • B. inRelationshipWith
    Indicates that two entities are mutually involved in a defined personal, romantic, or partnership relationship with each other.
  • C. semanticRelation
    Indicates a general meaning-based connection between two entities, such as similarity, implication, or conceptual association.
  • D. termRelationTo chosen
    Indicates a general relational association between one term and another, without specifying the exact nature of that relationship.
  • E. valueRelation
    Indicates a comparative or associative relationship between the values or magnitudes of two or more entities.
  • 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_69bd44459a988190a772a5c2ec6a1965 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd78d7f4d081908d59adcd86f52f1d completed March 20, 2026, 4:42 p.m.
PD Predicate disambiguation batch_69bd77ae2f10819098bb8939106e1281 completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:43 p.m.