Triple

T25803731
Position Surface form Disambiguated ID Type / Status
Subject California Institution for Women E649905 entity
Predicate hasWorkPrograms P87760 FINISHED
Object prison industry employment 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: prison industry employment | Statement: [California Institution for Women, hasWorkPrograms, prison industry employment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasWorkPrograms
Context triple: [California Institution for Women, hasWorkPrograms, prison industry employment]
  • A. hasWorkProgram chosen
    Indicates that an entity offers, participates in, or is associated with a specific work-related program or scheme.
  • B. hasWorkSeries
    Indicates that one work belongs to, or is part of, a larger series of related works.
  • C. hasWorkOn
    Indicates that one entity is associated with, contributes to, or performs work on another entity (such as a project, task, or artifact).
  • D. hasWorkBy
    Indicates that one entity (such as a collection, exhibition, or publication) includes or contains creative works produced by another entity (such as an artist, author, or creator).
  • E. hasProgramme
    Indicates that an entity is associated with or offers a particular programme (such as a course of study, plan, or structured set of activities).
  • 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_69e7ab34f8c8819099f6c4dabdabf129 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f6c1265c208190aacd2b551f8f0f82 completed May 3, 2026, 3:29 a.m.
PD Predicate disambiguation batch_69f6bd2415fc81908c23c311aebce66f completed May 3, 2026, 3:12 a.m.
Created at: April 22, 2026, 6:44 a.m.