Triple

T22343215
Position Surface form Disambiguated ID Type / Status
Subject Law Enforcement Officers Killed and Assaulted Program E552326 entity
Predicate alsoKnownAs P39 FINISHED
Object LEOKA Data Collection NE NERFINISHED

How this triple was built (3 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: LEOKA Data Collection | Statement: [Law Enforcement Officers Killed and Assaulted Program, alsoKnownAs, LEOKA Data Collection]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LEOKA Data Collection
Context triple: [Law Enforcement Officers Killed and Assaulted Program, alsoKnownAs, LEOKA Data Collection]
  • A. Data Collection Wizard
    Data Collection Wizard is a SQL Server Management Studio tool that guides users through setting up and configuring data collection for performance and usage monitoring in a management data warehouse.
  • B. Sensus Connect
    Sensus Connect is Volvo’s in-car infotainment platform that integrates navigation, media, connectivity, and vehicle functions through a central touchscreen interface.
  • C. Data Sahib
    Data Sahib is a revered Sufi saint associated with the famous Data Darbar shrine in Lahore, Pakistan.
  • D. EOS data systems
    EOS data systems are NASA’s integrated information and processing infrastructure that collect, manage, and distribute Earth science data from the Earth Observing System satellites to researchers and the public.
  • E. Data61
    Data61 is an Australian national data science and digital innovation research organization within CSIRO, focused on advanced analytics, cybersecurity, and emerging technologies.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LEOKA Data Collection
Target entity description: LEOKA Data Collection is an FBI program that compiles and analyzes nationwide statistics on law enforcement officers who are killed or assaulted in the line of duty.
  • A. Data Collection Wizard
    Data Collection Wizard is a SQL Server Management Studio tool that guides users through setting up and configuring data collection for performance and usage monitoring in a management data warehouse.
  • B. Sensus Connect
    Sensus Connect is Volvo’s in-car infotainment platform that integrates navigation, media, connectivity, and vehicle functions through a central touchscreen interface.
  • C. Data Sahib
    Data Sahib is a revered Sufi saint associated with the famous Data Darbar shrine in Lahore, Pakistan.
  • D. EOS data systems
    EOS data systems are NASA’s integrated information and processing infrastructure that collect, manage, and distribute Earth science data from the Earth Observing System satellites to researchers and the public.
  • E. Data61
    Data61 is an Australian national data science and digital innovation research organization within CSIRO, focused on advanced analytics, cybersecurity, and emerging technologies.
  • F. None of above. chosen

Provenance (2 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_69e11e494eec81909c4d2d51f69499d9 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15795b2a881908d6cb8f97443ca17 completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:43 p.m.