Triple

T6668280
Position Surface form Disambiguated ID Type / Status
Subject Rifian E151659 entity
Predicate lexicalRelation P34778 FINISHED
Object shares vocabulary with other Northern Berber varieties 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: shares vocabulary with other Northern Berber varieties | Statement: [Rifian, lexicalRelation, shares vocabulary with other Northern Berber varieties]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lexicalRelation
Context triple: [Rifian, lexicalRelation, shares vocabulary with other Northern Berber varieties]
  • A. semanticRelation
    Indicates a general meaning-based connection between two entities, such as similarity, implication, or conceptual association.
  • B. termRelationTo chosen
    Indicates a general relational association between one term and another, without specifying the exact nature of that relationship.
  • C. valueRelation
    Indicates a comparative or associative relationship between the values or magnitudes of two or more entities.
  • D. titleRelation
    Indicates a relationship where one entity serves as the title, designation, or formal name associated with another entity.
  • E. datumRelation
    Indicates a relationship where one piece of data is connected to, derived from, or otherwise associated with another piece of data.
  • 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_69c687f71fc081909dbd45d6377f6045 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ce738fe88190a5557900efeec7ec completed March 27, 2026, 6:37 p.m.
PD Predicate disambiguation batch_69c6ad09974c81908784300ae218961f completed March 27, 2026, 4:15 p.m.
Created at: March 27, 2026, 2:02 p.m.