Triple

T6469795
Position Surface form Disambiguated ID Type / Status
Subject Itonama E142317 entity
Predicate hasLinguisticInterest P7162 FINISHED
Object unclassified genetic affiliation 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: unclassified genetic affiliation | Statement: [Itonama, hasLinguisticInterest, unclassified genetic affiliation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLinguisticInterest
Context triple: [Itonama, hasLinguisticInterest, unclassified genetic affiliation]
  • A. hasLinguist
    Indicates that an entity is associated with or possesses a linguist, typically as a member, employee, collaborator, or resource.
  • B. hasLinguisticDomain
    Indicates that something (such as a term, expression, or resource) is associated with or applies within a particular linguistic domain or language context.
  • C. hasLinguisticGoal
    Indicates that an entity is associated with or directed toward achieving a particular linguistic objective or outcome.
  • D. hasLinguisticDocumentation
    Indicates that there exists recorded linguistic information or documentation about the language or linguistic properties of the subject.
  • E. hasLinguisticFeature chosen
    Indicates that an entity possesses a particular linguistic property, trait, or characteristic.
  • 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_69c008d3bf4c8190bcf798c5ba9d6fb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06a16272c81909313455002cd884d completed March 22, 2026, 10:15 p.m.
PD Predicate disambiguation batch_69c0673d46a08190bc8bcd29f9555fe7 completed March 22, 2026, 10:03 p.m.
Created at: March 22, 2026, 4:50 p.m.