Triple

T5499948
Position Surface form Disambiguated ID Type / Status
Subject Victims and Witnesses Section E144301 entity
Predicate abbreviation P43 FINISHED
Object VWS
VWS is the abbreviation for the Victims and Witnesses Section, a unit typically responsible for supporting and protecting victims and witnesses in legal or judicial proceedings.
 E529863 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: VWS | Statement: [Victims and Witnesses Section, abbreviation, VWS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VWS
Context triple: [Victims and Witnesses Section, abbreviation, VWS]
  • A. VSL
    VSL is the station code for Venezia Santa Lucia, the main railway terminal serving the historic center of Venice, Italy.
  • B. VOW
    VOW is the primary stock ticker for Volkswagen AG shares listed on the Frankfurt Stock Exchange.
  • C. VŠE
    VŠE is the commonly used abbreviation for the University of Economics in Prague, a leading Czech institution specializing in economics and business studies.
  • D. WES
    WES is a commuter rail service in the Portland, Oregon metropolitan area that connects Beaverton and Wilsonville.
  • E. WES
    WES is the vehicle registration code used on license plates for vehicles registered in the Wesel district of Germany.
  • 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: VWS
Triple: [Victims and Witnesses Section, abbreviation, VWS]
Generated description
VWS is the abbreviation for the Victims and Witnesses Section, a unit typically responsible for supporting and protecting victims and witnesses in legal or judicial proceedings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VWS
Target entity description: VWS is the abbreviation for the Victims and Witnesses Section, a unit typically responsible for supporting and protecting victims and witnesses in legal or judicial proceedings.
  • A. VSL
    VSL is the station code for Venezia Santa Lucia, the main railway terminal serving the historic center of Venice, Italy.
  • B. VOW
    VOW is the primary stock ticker for Volkswagen AG shares listed on the Frankfurt Stock Exchange.
  • C. VŠE
    VŠE is the commonly used abbreviation for the University of Economics in Prague, a leading Czech institution specializing in economics and business studies.
  • D. WES
    WES is a commuter rail service in the Portland, Oregon metropolitan area that connects Beaverton and Wilsonville.
  • E. WES
    WES is the vehicle registration code used on license plates for vehicles registered in the Wesel district of Germany.
  • 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.