Triple

T5157050
Position Surface form Disambiguated ID Type / Status
Subject John H. Ferguson E116335 entity
Predicate ethnicSegregationCase P11398 FINISHED
Object railroad car segregation 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: railroad car segregation | Statement: [John H. Ferguson, ethnicSegregationCase, railroad car segregation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ethnicSegregationCase
Context triple: [John H. Ferguson, ethnicSegregationCase, railroad car segregation]
  • A. segregationBasis
    Indicates the criterion or characteristic used as the basis for separating or distinguishing one group or set from another.
  • B. typeOfSegregationAddressed chosen
    Indicates the specific form or category of segregation that is being targeted, handled, or dealt with in a given context.
  • C. stanceOnSegregation
    Indicates a person or group’s expressed position, attitude, or viewpoint regarding racial or social segregation.
  • D. segregationEra
    Indicates a period or context in which entities are subject to racially discriminatory separation or unequal treatment under segregation policies.
  • E. divisionRaceContext
    Indicates a contextual relationship where a division is characterized or defined in terms of a specific race or racial grouping.
  • 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_69bd445d94788190b72e2cc563120995 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79c1354c81908176703b4853c1a4 completed March 20, 2026, 4:45 p.m.
PD Predicate disambiguation batch_69bd77b0fbb88190851e2d7ae1bdcc09 completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:44 p.m.