Triple

T31424577
Position Surface form Disambiguated ID Type / Status
Subject 1800 United States census E801624 entity
Predicate enslavedPopulation P56455 FINISHED
Object 893602 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: 893602 | Statement: [1800 United States census, enslavedPopulation, 893602]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: enslavedPopulation
Context triple: [1800 United States census, enslavedPopulation, 893602]
  • A. numberOfEnslaved chosen
    Indicates the quantity of individuals who were held in a state of enslavement in relation to a given entity or context.
  • B. populationGroupEnslaved
    Indicates that one population group is held in a condition of slavery or forced servitude by another.
  • C. wasFormerlyEnslaved
    Indicates that an entity was previously held in a condition of slavery or bondage but is no longer enslaved.
  • D. wasEnslavedIn
    Indicates that an entity was held in a state of slavery within a specified place or context.
  • E. historicalPeriodOfEnslavement
    Indicates the specific historical period during which an entity was subjected to enslavement.
  • 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_69f348c26f048190b4adadd71b4596c5 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a916d2e08190bafc01cba73b6469 completed May 3, 2026, 1:47 a.m.
PD Predicate disambiguation batch_69f6a7548eb48190a69b60a3c6ad53b9 completed May 3, 2026, 1:39 a.m.
Created at: April 30, 2026, 8:51 p.m.