Triple

T6770454
Position Surface form Disambiguated ID Type / Status
Subject Wilmington Light Infantry E155028 entity
Predicate hasHistoricalAssessment P675 FINISHED
Object example of state-sanctioned racial violence 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: example of state-sanctioned racial violence | Statement: [Wilmington Light Infantry, hasHistoricalAssessment, example of state-sanctioned racial violence]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHistoricalAssessment
Context triple: [Wilmington Light Infantry, hasHistoricalAssessment, example of state-sanctioned racial violence]
  • A. historicalAssessment chosen
    Indicates an evaluation or judgment of something based on its historical context, significance, or development over time.
  • B. hasHistoricalSection
    Indicates that something includes a dedicated part or segment that presents historical information or context.
  • C. hasHistoryPeriod
    Indicates that something is associated with, belongs to, or occurs within a specific historical period or era.
  • D. hasHistorySince
    Indicates that an entity has maintained a particular state, condition, or relationship continuously starting from a specified point in time.
  • E. hasHistoricalEntity
    Indicates a relationship where one entity includes, references, or is associated with another entity that existed or is defined in a past historical context.
  • 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_69c68812ef7c819099369f51febb725c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2347fb48190a44c03317b5ecfd7 completed March 27, 2026, 6:53 p.m.
PD Predicate disambiguation batch_69c6d094105881909c5806eb4afa6306 completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:13 p.m.