Triple

T37065515
Position Surface form Disambiguated ID Type / Status
Subject Ket language E917430 entity
Predicate hasGeneticRelationHypothesisStatus P196197 FINISHED
Object controversial 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: controversial | Statement: [Ket language, hasGeneticRelationHypothesisStatus, controversial]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGeneticRelationHypothesisStatus
Context triple: [Ket language, hasGeneticRelationHypothesisStatus, controversial]
  • A. geneticRelation
    Indicates that two entities are connected through a hereditary or familial genetic relationship.
  • B. proposesGeneticRelationshipBetween
    Indicates that one entity puts forward or suggests the existence of a genetic relationship between two or more entities.
  • C. hasGeneticAffiliation
    Indicates that one entity is genetically related or affiliated with another, such as sharing ancestry, lineage, or genetic characteristics.
  • D. hasGenealogicalRelation
    Indicates that there exists a family or ancestry-based relationship (such as parent, child, sibling, or more distant kinship) between the related entities.
  • E. hasRelationshipToGenetics
    Indicates that an entity has a connection, relevance, or influence related to genetics or genetic factors.
  • F. None of above. chosen

Provenance (4 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_69f76e95fa40819091e14681087ae5e4 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fe12a899d4819080d48423f32eace9 completed May 8, 2026, 4:43 p.m.
PD Predicate disambiguation batch_69fe0d7f6aa08190a1d2dfc025d4e0dc completed May 8, 2026, 4:21 p.m.
PDg Predicate description generation batch_69fe12a769c08190bc445d302d2e8f98 completed May 8, 2026, 4:43 p.m.
Created at: May 3, 2026, 4:14 p.m.