Triple

T19173872
Position Surface form Disambiguated ID Type / Status
Subject Constitution of Brazil E469392 entity
Predicate establishesJudiciaryBody P26623 FINISHED
Object Labor Courts NE NERFINISHED

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: Labor Courts | Statement: [Constitution of Brazil, establishesJudiciaryBody, Labor Courts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Labor Courts
Context triple: [Constitution of Brazil, establishesJudiciaryBody, Labor Courts]
  • A. Labour Courts chosen
    Labour Courts are specialized judicial bodies that handle disputes and legal issues arising from employment and labour relations.
  • B. Social Courts
    Social Courts are specialized Spanish judicial bodies that handle labor, employment, and social security disputes.
  • C. Law Court
    Law Court is the common name for the Maine Supreme Judicial Court, the highest appellate court in the state of Maine.
  • D. Business Court
    The Business Court is a specialized division of the Michigan trial court system that handles complex commercial and business-related legal disputes.
  • E. Administrative Courts of First Instance
    The Administrative Courts of First Instance are Thailand’s lower-level administrative courts that initially hear and adjudicate disputes between individuals and state administrative agencies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f16613dc8190987c2d79dc616e40 completed April 20, 2026, 9:27 a.m.
Created at: April 10, 2026, 12:06 p.m.