Triple

T9119137
Position Surface form Disambiguated ID Type / Status
Subject Yamaloka E218799 entity
Predicate hasJudicialAspect P10526 FINISHED
Object court of Yama 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: court of Yama | Statement: [Yamaloka, hasJudicialAspect, court of Yama]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasJudicialAspect
Context triple: [Yamaloka, hasJudicialAspect, court of Yama]
  • A. hasJudiciary chosen
    Indicates that an entity possesses, is served by, or is under the authority of a judicial body or legal court system.
  • B. hasPartInJurisprudence
    Indicates that one legal concept, rule, or component forms a constituent part of another within the domain of jurisprudence.
  • C. judgmentInvolves
    Indicates that a particular judgment, decision, or legal ruling includes, concerns, or pertains to a specified entity or matter.
  • D. hadJudicialFunction
    Indicates that an entity exercised or was assigned an official judicial role, authority, or responsibility in relation to another entity or context.
  • E. hasJustice
    Indicates that an entity possesses, upholds, or embodies justice in its actions, qualities, or governing principles.
  • 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_69ca83dddd548190983b96c664f7f367 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8a7c6d48190a015efd17a017ca1 completed April 1, 2026, 5:10 a.m.
PD Predicate disambiguation batch_69cc66003e3c819091e1e42c9cf7c781 completed April 1, 2026, 12:25 a.m.
Created at: March 30, 2026, 7:17 p.m.