Triple

T6139020
Position Surface form Disambiguated ID Type / Status
Subject Tutsi E136910 entity
Predicate historicalStratification P28623 FINISHED
Object upper social stratum in Rwanda 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: upper social stratum in Rwanda | Statement: [Tutsi, historicalStratification, upper social stratum in Rwanda]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalStratification
Context triple: [Tutsi, historicalStratification, upper social stratum in Rwanda]
  • A. historicalType
    Indicates that one entity classifies or characterizes another in terms of its role, status, or category within a historical context.
  • B. historicalLevel
    Indicates the degree or extent to which something is related to, situated in, or characterized by a particular historical period or context.
  • C. historicalBackground
    Indicates that one entity provides contextual historical information or circumstances that help explain the origin, development, or significance of another entity.
  • D. historicalStatusOf chosen
    Indicates the historical condition, role, or classification that an entity held during a specific past period or context.
  • E. historicallyConsidered
    Indicates that one entity has been regarded or classified in a particular way relative to another entity during a past historical period.
  • 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_69c008a179388190a3b5a081bbf46d55 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c855a2481909801de9fd55686a4 completed March 22, 2026, 9:17 p.m.
PD Predicate disambiguation batch_69c055f19b0c81908be34a00ab218723 completed March 22, 2026, 8:49 p.m.
Created at: March 22, 2026, 4:15 p.m.