Triple

T23210841
Position Surface form Disambiguated ID Type / Status
Subject Correctional Training Facility E580589 entity
Predicate abbreviation P43 FINISHED
Object CTF
CTF is a state prison in Soledad, California, focused on housing inmates and providing correctional, vocational, and rehabilitative programs.
E1575191 NE FINISHED

How this triple was built (4 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: CTF | Statement: [Correctional Training Facility, abbreviation, CTF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CTF
Context triple: [Correctional Training Facility, abbreviation, CTF]
  • A. CTF
    CTF is the commonly used abbreviation for the Alabama Department of Child Abuse and Neglect Prevention, the state agency focused on preventing child abuse and neglect.
  • B. CCTF
    CCTF is an international scientific committee under the CIPM that coordinates global standards and advancements in time and frequency metrology.
  • C. CTFG
    CTFG is a European regulatory working group that coordinates and streamlines the assessment and conduct of clinical trials across EU member states.
  • D. CTFC
    CTFC is the commonly used abbreviation for Crawley Town Football Club, an English professional football team based in Crawley, West Sussex.
  • E. CloudCuckooLand
    CloudCuckooLand is a poetry collection by British poet Simon Armitage that showcases his characteristic blend of wit, contemporary reference, and inventive language.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CTF
Triple: [Correctional Training Facility, abbreviation, CTF]
Generated description
CTF is a state prison in Soledad, California, focused on housing inmates and providing correctional, vocational, and rehabilitative programs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CTF
Target entity description: CTF is a state prison in Soledad, California, focused on housing inmates and providing correctional, vocational, and rehabilitative programs.
  • A. CTF
    CTF is the commonly used abbreviation for the Alabama Department of Child Abuse and Neglect Prevention, the state agency focused on preventing child abuse and neglect.
  • B. CCTF
    CCTF is an international scientific committee under the CIPM that coordinates global standards and advancements in time and frequency metrology.
  • C. CTFG
    CTFG is a European regulatory working group that coordinates and streamlines the assessment and conduct of clinical trials across EU member states.
  • D. CTFC
    CTFC is the commonly used abbreviation for Crawley Town Football Club, an English professional football team based in Crawley, West Sussex.
  • E. CloudCuckooLand
    CloudCuckooLand is a poetry collection by British poet Simon Armitage that showcases his characteristic blend of wit, contemporary reference, and inventive language.
  • F. None of above. chosen

Provenance (5 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_69e24602ae1481908aaa6bc7ca493867 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f191614bc4819080938752d843dcc6 completed April 29, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c30c6a3688190a6569c98399d334f completed May 19, 2026, 9:43 a.m.
NEDg Description generation batch_6a0c3301e2d08190929ff173d720ebee completed May 19, 2026, 9:53 a.m.
NED2 Entity disambiguation (via description) batch_6a0c3793c0d481908afb12f0cbf56f9b completed May 19, 2026, 10:12 a.m.
Created at: April 17, 2026, 4:07 p.m.