Triple

T23959260
Position Surface form Disambiguated ID Type / Status
Subject Humburi Senni Songhay E603878 entity
Predicate hasContactInfluence P135679 FINISHED
Object Mande languages 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: Mande languages | Statement: [Humburi Senni Songhay, hasContactInfluence, Mande languages]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasContactInfluence
Context triple: [Humburi Senni Songhay, hasContactInfluence, Mande languages]
  • A. hasContactInfluenceFrom
    Indicates that one entity’s state, behavior, or properties are directly affected or altered through physical or direct contact with another entity.
  • B. 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.
  • C. hasInfluenceScope
    Indicates the range or extent within which an entity’s influence, impact, or authority is effective or applicable.
  • D. hasLoanInfluenceFrom
    Indicates that one entity’s loan terms, availability, or conditions are affected or shaped by another entity.
  • E. hasExternalInfluence chosen
    Indicates that one entity affects or alters another entity due to factors or forces originating outside the affected entity.
  • 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_69e2954222288190a7323554d0cca8d7 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f1d0d91cd481908f53ce7ee569c0f9 completed April 29, 2026, 9:35 a.m.
PD Predicate disambiguation batch_69f161578d54819084a8b35496299993 completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 9:22 p.m.