Triple

T3801454
Position Surface form Disambiguated ID Type / Status
Subject New York County grand jury E91696 entity
Predicate minimumMembers P9344 FINISHED
Object 16 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: 16 | Statement: [New York County grand jury, minimumMembers, 16]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: minimumMembers
Context triple: [New York County grand jury, minimumMembers, 16]
  • A. minimumNumberOfMembers chosen
    Indicates the smallest allowable or required number of members that must be present or involved in a given context or group.
  • B. limitedNumberOfMembers
    Indicates that the associated group or entity has a maximum allowed number of members or participants.
  • C. minimumInstitutionalMembershipRequirement
    Indicates the lowest level or amount of institutional membership that must be met for the related condition, status, or participation to be valid.
  • D. hasMaximumNumberOfMembers
    Indicates that there is an upper limit on how many members can be associated with a given entity.
  • E. minimumContribution
    Indicates the smallest allowable or required amount that an entity must contribute in a given context or relationship.
  • 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_69aed96354f48190a768966d6bd19b04 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee8db8a288190afd1e3b9dcf02e97 completed March 9, 2026, 3:35 p.m.
PD Predicate disambiguation batch_69aee7461abc8190945716f4b93e1a18 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:15 p.m.