Triple

T7414562
Position Surface form Disambiguated ID Type / Status
Subject California attorneys E171097 entity
Predicate mustMeetRequirement P39303 FINISHED
Object moral character determination 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: moral character determination | Statement: [California attorneys, mustMeetRequirement, moral character determination]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mustMeetRequirement
Context triple: [California attorneys, mustMeetRequirement, moral character determination]
  • A. mustMeet
    Indicates that one entity is required or obligated to have a meeting or encounter with another entity.
  • B. establishedRequirement chosen
    Indicates that one entity has formally set or defined a requirement that another entity is expected to satisfy or comply with.
  • C. maintenanceRequirement
    Indicates that an entity is obligated to perform, schedule, or adhere to specific maintenance activities or conditions for another entity or system.
  • D. evaluationRequirement
    Indicates that one entity imposes or specifies conditions under which another entity must be assessed, tested, or evaluated.
  • E. requiredBy
    Indicates that one entity depends on or cannot function properly without another entity being present, completed, or satisfied.
  • 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_69c68a618bdc81908d8018edadecd1a4 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2c509ac8190876f207267a33a3b completed March 27, 2026, 9:12 p.m.
PD Predicate disambiguation batch_69c6f0345040819094c5756dfa487faf completed March 27, 2026, 9:01 p.m.
Created at: March 27, 2026, 3:11 p.m.