Triple

T5499993
Position Surface form Disambiguated ID Type / Status
Subject Victims Participation and Reparations Section E144302 entity
Predicate abbreviation P43 FINISHED
Object VPRS
VPRS is a specialized unit of the International Criminal Court responsible for facilitating victims’ participation in proceedings and managing their reparations.
 E529864 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: VPRS | Statement: [Victims Participation and Reparations Section, abbreviation, VPRS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VPRS
Context triple: [Victims Participation and Reparations Section, abbreviation, VPRS]
  • A. VSP
    VSP is the primary statewide law enforcement agency responsible for highway patrol, criminal investigations, and public safety in the Commonwealth of Virginia.
  • B. VRA
    VRA is the common abbreviation for the landmark U.S. federal law enacted in 1965 to prohibit racial discrimination in voting.
  • C. VP&S
    VP&S is the commonly used abbreviation for Columbia University Vagelos College of Physicians and Surgeons, a leading medical school in New York City.
  • D. VNS
    VNS is the IATA airport code for Lal Bahadur Shastri International Airport serving Varanasi, India.
  • E. VAPR
    VAPR is the ICAO airport code assigned to Porbandar Airport in Gujarat, India.
  • 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: VPRS
Triple: [Victims Participation and Reparations Section, abbreviation, VPRS]
Generated description
VPRS is a specialized unit of the International Criminal Court responsible for facilitating victims’ participation in proceedings and managing their reparations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VPRS
Target entity description: VPRS is a specialized unit of the International Criminal Court responsible for facilitating victims’ participation in proceedings and managing their reparations.
  • A. VSP
    VSP is the primary statewide law enforcement agency responsible for highway patrol, criminal investigations, and public safety in the Commonwealth of Virginia.
  • B. VRA
    VRA is the common abbreviation for the landmark U.S. federal law enacted in 1965 to prohibit racial discrimination in voting.
  • C. VP&S
    VP&S is the commonly used abbreviation for Columbia University Vagelos College of Physicians and Surgeons, a leading medical school in New York City.
  • D. VNS
    VNS is the IATA airport code for Lal Bahadur Shastri International Airport serving Varanasi, India.
  • E. VAPR
    VAPR is the ICAO airport code assigned to Porbandar Airport in Gujarat, India.
  • 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_69c008f5a2748190bce7a39aabf87a6d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01b921884819082fe30100c71e516 completed March 22, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02796cac88190abd8d58eb7ae1267 completed March 22, 2026, 5:32 p.m.
NEDg Description generation batch_69c034158a148190b9b63d7e5e65303f completed March 22, 2026, 6:25 p.m.
NED2 Entity disambiguation (via description) batch_69c034a04d708190922acece40008d7b completed March 22, 2026, 6:27 p.m.
Created at: March 22, 2026, 3:32 p.m.