Triple

T37934024
Position Surface form Disambiguated ID Type / Status
Subject Lei Áurea E946295 entity
Predicate compensationToFormerEnslaved P193978 FINISHED
Object none specified 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: none specified | Statement: [Lei Áurea, compensationToFormerEnslaved, none specified]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: compensationToFormerEnslaved
Context triple: [Lei Áurea, compensationToFormerEnslaved, none specified]
  • A. wasFormerlyEnslaved
    Indicates that an entity was previously held in a condition of slavery or bondage but is no longer enslaved.
  • B. beneficiariesOfEmancipation
    Indicates that the subject is a person or group who gains rights, freedoms, or advantages as a result of an emancipation event or process.
  • C. wasEnslavedIn
    Indicates that an entity was held in a state of slavery within a specified place or context.
  • D. numberOfEnslavedPeopleFreed
    Indicates the quantity of enslaved individuals who were liberated or set free as a result of a particular action, event, or circumstance.
  • E. soughtCompensationFrom
    Indicates that one party requested or pursued payment or other forms of recompense from another party, typically in response to a perceived loss, harm, or obligation.
  • F. None of above. chosen

Provenance (4 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_69f76ef3b7248190892fb9706423be7c completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fd5bf69acc819092a01e4259785dc3 completed May 8, 2026, 3:43 a.m.
PD Predicate disambiguation batch_69fd59b3f4ac8190a7f9dd3142da6e09 completed May 8, 2026, 3:34 a.m.
PDg Predicate description generation batch_69fd5bf49288819098a12202411cba4f completed May 8, 2026, 3:43 a.m.
Created at: May 3, 2026, 4:20 p.m.