Triple

T6517235
Position Surface form Disambiguated ID Type / Status
Subject Canaanite shift E148295 entity
Predicate exampleContrast P11289 FINISHED
Object Proto-Semitic *šālōm > Hebrew šālōm 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: Proto-Semitic *šālōm > Hebrew šālōm | Statement: [Canaanite shift, exampleContrast, Proto-Semitic *šālōm > Hebrew šālōm]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: exampleContrast
Context triple: [Canaanite shift, exampleContrast, Proto-Semitic *šālōm > Hebrew šālōm]
  • A. createsContrastIn
    Indicates a relationship where one element is used to highlight or emphasize differences with another element within a given context.
  • B. traditionalContrastWith
    Indicates a relationship where one tradition, practice, or belief is explicitly set in opposition or difference to another, highlighting their contrasting characteristics.
  • C. exploresContrastBetween
    Indicates a relationship in which one entity examines, highlights, or analyzes the differences or oppositions between two or more entities, ideas, or situations.
  • D. registerContrast
    Indicates that an entity records or establishes a distinction or difference between two or more items or states.
  • E. oftenContrastedWith chosen
    Indicates that one entity is frequently compared to another in a way that highlights their differences or opposing characteristics.
  • 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_69c687e68e748190baceb9298f32d3ed completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ac0ece2081909c14accef90efd7c completed March 27, 2026, 4:10 p.m.
PD Predicate disambiguation batch_69c68ab98c78819081743e614df04e1d completed March 27, 2026, 1:48 p.m.
Created at: March 27, 2026, 1:44 p.m.