Triple

T12950067
Position Surface form Disambiguated ID Type / Status
Subject מגידו E309868 entity
Predicate cultureLayer P43329 FINISHED
Object כנענית 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: כנענית | Statement: [מגידו, cultureLayer, כנענית]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cultureLayer
Context triple: [מגידו, cultureLayer, כנענית]
  • A. cultureHeroIn
    Indicates that an entity serves as a culture hero within a specified cultural or mythological tradition.
  • B. culturalLayer chosen
    Indicates the relationship in which something belongs to, originates from, or is associated with a particular cultural stratum, tradition, or level within a culture.
  • C. culturalKnowledge
    Indicates that one entity possesses or conveys understanding of the customs, practices, values, or traditions associated with a particular culture.
  • D. cultureDepicted
    Indicates that one entity portrays, represents, or is associated with the culture of another entity.
  • E. cultureAttributedTo
    Indicates that a particular cultural style, tradition, or influence is ascribed to or associated with a specific source, group, or origin.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e59a4c88190907d05b8d57dae89 completed April 10, 2026, 10:48 p.m.
PD Predicate disambiguation batch_69d97dba57988190b786ffed55687a72 completed April 10, 2026, 10:46 p.m.
Created at: April 9, 2026, 5:43 p.m.