Triple

T3969028
Position Surface form Disambiguated ID Type / Status
Subject San Francisco Adult Probation Department E92283 entity
Predicate hasClientGroup P53231 FINISHED
Object justice-involved adults 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: justice-involved adults | Statement: [San Francisco Adult Probation Department, hasClientGroup, justice-involved adults]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasClientGroup
Context triple: [San Francisco Adult Probation Department, hasClientGroup, justice-involved adults]
  • A. hasClient
    Indicates that an entity maintains a client relationship with another entity, typically as a provider of goods or services.
  • B. hasUserGroup
    Indicates that a user is associated with, belongs to, or is a member of a specific user group.
  • C. hasCentralGroup
    Indicates that an entity possesses or is associated with a primary or central group within its structure or organization.
  • D. hasStationGroup
    Indicates that an entity is associated with, or belongs to, a particular group or collection of stations.
  • E. hasKeyGroup
    Indicates that an entity is associated with a particular key group that governs or organizes its access, classification, or control.
  • 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaca33e4819091957c7915857a42 completed March 9, 2026, 4:52 p.m.
PD Predicate disambiguation batch_69aef8f252b081909749d40440d372b2 completed March 9, 2026, 4:44 p.m.
PDg Predicate description generation batch_69aefac8f7a48190b065487ce090eaf2 completed March 9, 2026, 4:52 p.m.
Created at: March 9, 2026, 3:32 p.m.