Triple

T5540438
Position Surface form Disambiguated ID Type / Status
Subject Lenca language E145273 entity
Predicate hasInfluenceType P31348 FINISHED
Object lexical influence on Spanish 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: lexical influence on Spanish | Statement: [Lenca language, hasInfluenceType, lexical influence on Spanish]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasInfluenceType
Context triple: [Lenca language, hasInfluenceType, lexical influence on Spanish]
  • A. hasPossibleInfluence
    Indicates that one entity may have an effect on, contribute to, or shape the state, behavior, or outcome of another entity, without asserting that this influence is definite or direct.
  • B. typeOfInfluence chosen
    Indicates the specific nature or category of influence that one entity exerts on another.
  • C. hasSignificantInfluenceIn
    Indicates that one entity exerts a substantial impact or shaping effect on another entity within a particular domain, context, or outcome.
  • D. hasInfluentialStatus
    Indicates that an entity holds a position, role, or condition that gives it significant influence or impact over others or over outcomes.
  • E. hasSubsequentInfluence
    Indicates that one entity has an influence or effect that occurs after, and is causally or temporally downstream from, another entity or event.
  • 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_69c008fa64888190adae56c8f9ea4031 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fb487648190948493fe96cec0ff completed March 22, 2026, 4:58 p.m.
PD Predicate disambiguation batch_69c01b0c50e48190a1b03ecd20ca440b completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:35 p.m.