Triple

T4186694
Position Surface form Disambiguated ID Type / Status
Subject Atsi E88328 entity
Predicate hasLinguisticRelationWith P10003 FINISHED
Object other Fang dialects 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: other Fang dialects | Statement: [Atsi, hasLinguisticRelationWith, other Fang dialects]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLinguisticRelationWith
Context triple: [Atsi, hasLinguisticRelationWith, other Fang dialects]
  • A. semanticRelation
    Indicates a general meaning-based connection between two entities, such as similarity, implication, or conceptual association.
  • B. linguisticallyRelatedTo chosen
    Indicates that two entities are connected through a linguistic relationship, such as sharing a common language, origin, structure, or other language-based association.
  • C. hasLexicalInfluenceOn
    Indicates that one linguistic element (such as a word, phrase, or lexicon) has affected or shaped the form, usage, or meaning of another linguistic element.
  • D. hasGrammaticalSimilarityTo
    Indicates that two linguistic elements share similar grammatical structure, form, or function.
  • E. cognateOf
    Indicates that two linguistic forms share a common historical origin, typically descending from the same ancestral word.
  • 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_69aed9477e8c81908bcb862d2db55b1d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af04b009dc8190abda3f149a5b16fa completed March 9, 2026, 5:34 p.m.
PD Predicate disambiguation batch_69af01935064819096b7619f42e164dd completed March 9, 2026, 5:21 p.m.
Created at: March 9, 2026, 3:45 p.m.