Triple

T3682553
Position Surface form Disambiguated ID Type / Status
Subject Bureau of Justice Statistics E78143 entity
Predicate abbreviation P43 FINISHED
Object BJS
BJS is a U.S. federal agency that collects, analyzes, and publishes data on crime, criminal offenders, victims, and the operation of justice systems.
 E379962 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: BJS | Statement: [Bureau of Justice Statistics, abbreviation, BJS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BJS
Context triple: [Bureau of Justice Statistics, abbreviation, BJS]
  • A. CJBS
    CJBS is the acronym for Cambridge Judge Business School, the University of Cambridge’s renowned business school offering MBA, master’s, PhD, and executive education programs.
  • B. BCJ
    BCJ is a renowned American architecture firm known for its innovative, modern designs and high-profile projects, including numerous Apple Stores.
  • C. BJX
    BJX is the IATA airport code for Guanajuato International Airport, serving the León–Guanajuato region in central Mexico.
  • D. BJK
    BJK is the commonly used abbreviation for Beşiktaş JK, one of Turkey’s most prominent and historic multi-sport clubs best known for its football team.
  • E. BJ
    BJ is the stock ticker symbol for BJ's Wholesale Club, a U.S.-based membership-only warehouse club chain.
  • 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: BJS
Triple: [Bureau of Justice Statistics, abbreviation, BJS]
Generated description
BJS is a U.S. federal agency that collects, analyzes, and publishes data on crime, criminal offenders, victims, and the operation of justice systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BJS
Target entity description: BJS is a U.S. federal agency that collects, analyzes, and publishes data on crime, criminal offenders, victims, and the operation of justice systems.
  • A. CJBS
    CJBS is the acronym for Cambridge Judge Business School, the University of Cambridge’s renowned business school offering MBA, master’s, PhD, and executive education programs.
  • B. BCJ
    BCJ is a renowned American architecture firm known for its innovative, modern designs and high-profile projects, including numerous Apple Stores.
  • C. BJX
    BJX is the IATA airport code for Guanajuato International Airport, serving the León–Guanajuato region in central Mexico.
  • D. BJK
    BJK is the commonly used abbreviation for Beşiktaş JK, one of Turkey’s most prominent and historic multi-sport clubs best known for its football team.
  • E. BJ
    BJ is the stock ticker symbol for BJ's Wholesale Club, a U.S.-based membership-only warehouse club chain.
  • 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_69ad85e18c1c8190be8aafb227f39f48 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4948cc48190ab1f59cc4a2437cc completed March 8, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3b306c081909b3857daa4f97ce2 completed March 14, 2026, 2:10 a.m.
NEDg Description generation batch_69b4c56b76ac81909ae8d2ef10b8ed28 completed March 14, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69b4c62f7b7c81909150d8e40bb2dda4 completed March 14, 2026, 2:21 a.m.
Created at: March 8, 2026, 3:25 p.m.