Triple

T12269654
Position Surface form Disambiguated ID Type / Status
Subject Restore Online Shoppers’ Confidence Act E292437 entity
Predicate shortName P43 FINISHED
Object ROSCA
ROSCA is a U.S. federal law that regulates online negative option marketing and billing practices to protect consumers from deceptive internet sales.
 E975762 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: ROSCA | Statement: [Restore Online Shoppers’ Confidence Act, shortName, ROSCA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ROSCA
Context triple: [Restore Online Shoppers’ Confidence Act, shortName, ROSCA]
  • A. Caja
    Caja is the file manager used in the MATE desktop environment, providing users with tools to browse, organize, and manage their files and folders.
  • B. Pesa
    The Pesa is a river in Tuscany, central Italy, known for flowing through the Chianti region before joining the Arno.
  • C. Pesa
    Pesa is a Polish manufacturer of rail vehicles, particularly known for producing modern trams and trains used in various European cities.
  • D. Takas
    Takas is a dialect of the Mwaghavul language spoken by a subgroup of the Mwaghavul people in Nigeria’s Plateau State.
  • E. Resso
    Resso is a music streaming app known for its social and interactive features, developed by TikTok parent company ByteDance.
  • 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: ROSCA
Triple: [Restore Online Shoppers’ Confidence Act, shortName, ROSCA]
Generated description
ROSCA is a U.S. federal law that regulates online negative option marketing and billing practices to protect consumers from deceptive internet sales.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ROSCA
Target entity description: ROSCA is a U.S. federal law that regulates online negative option marketing and billing practices to protect consumers from deceptive internet sales.
  • A. Caja
    Caja is the file manager used in the MATE desktop environment, providing users with tools to browse, organize, and manage their files and folders.
  • B. Pesa
    The Pesa is a river in Tuscany, central Italy, known for flowing through the Chianti region before joining the Arno.
  • C. Pesa
    Pesa is a Polish manufacturer of rail vehicles, particularly known for producing modern trams and trains used in various European cities.
  • D. Takas
    Takas is a dialect of the Mwaghavul language spoken by a subgroup of the Mwaghavul people in Nigeria’s Plateau State.
  • E. Resso
    Resso is a music streaming app known for its social and interactive features, developed by TikTok parent company ByteDance.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cdea6e881908e13f8259bad6ddc completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e6981b48190a0fc5a571c425be1 completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f622de74f0819096c5f5bf6f938fe7 completed May 2, 2026, 4:14 p.m.
NED2 Entity disambiguation (via description) batch_69f62379746c8190bc9da48775b86dfa completed May 2, 2026, 4:16 p.m.
Created at: April 8, 2026, 9:52 p.m.