Triple

T35647911
Position Surface form Disambiguated ID Type / Status
Subject Romulan language E1030058 entity
Predicate originRelation P150067 FINISHED
Object diverged from ancient Vulcan language 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: diverged from ancient Vulcan language | Statement: [Romulan language, originRelation, diverged from ancient Vulcan language]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: originRelation
Context triple: [Romulan language, originRelation, diverged from ancient Vulcan language]
  • A. originalRelationship
    Indicates that one entity stands in an initial or primary relational role to another, from which other derived or subsequent relationships may follow.
  • B. subjectRelation
    Indicates that one entity stands in a specified relational role or connection to another entity.
  • C. relationToSource chosen
    Indicates a relationship that specifies how something is connected or related to its originating source.
  • D. originAssociatedWith
    Indicates a relationship where an entity is connected to, derived from, or influenced by a particular origin, source, or point of beginning.
  • E. 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.
  • 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_69f76e0938088190a8f199631e97dec3 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a037c8d06cc8190ab6a5e18d9d2571e completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a04d8348190a4819666eab42c9b completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:05 p.m.