Triple

T5435128
Position Surface form Disambiguated ID Type / Status
Subject Clinton Correctional Facility E121988 entity
Predicate hasInmateServices P60467 FINISHED
Object healthcare 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: healthcare | Statement: [Clinton Correctional Facility, hasInmateServices, healthcare]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasInmateServices
Context triple: [Clinton Correctional Facility, hasInmateServices, healthcare]
  • A. hasPrisonService chosen
    Indicates that an entity provides, manages, or is responsible for prison-related services or operations for another entity.
  • B. hasPrison
    Indicates that one entity possesses, contains, or is the location of a prison associated with another entity.
  • C. hasPrisoners
    Indicates that an entity holds or contains one or more individuals who are imprisoned or detained.
  • D. isPenalInstitution
    Indicates that an entity functions as a facility where individuals are legally confined as punishment or while awaiting legal proceedings.
  • E. inmates
    Indicates that one entity is confined or held as a prisoner within an institution or facility associated with another entity.
  • 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_69bd46400768819092925d461c0b8432 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd922f66bc8190b7d47fd68d2fcf2e completed March 20, 2026, 6:30 p.m.
PD Predicate disambiguation batch_69bd919aeb048190b786f814177d6cd9 completed March 20, 2026, 6:27 p.m.
Created at: March 20, 2026, 2:06 p.m.