Triple

T5340396

Position	Surface form	Disambiguated ID	Type / Status
Subject	EDGAR	`E123930`	entity
Predicate	fullName	`P16`	FINISHED
Object	Electronic Data Gathering, Analysis, and Retrieval system The Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system is the U.S. Securities and Exchange Commission’s online database that collects, stores, and provides public access to corporate financial and disclosure filings.	`E512101`	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: Electronic Data Gathering, Analysis, and Retrieval system | Statement: [EDGAR, fullName, Electronic Data Gathering, Analysis, and Retrieval system]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: Electronic Data Gathering, Analysis, and Retrieval system
Context triple: [EDGAR, fullName, Electronic Data Gathering, Analysis, and Retrieval system]

A. Public Access to Court Electronic Records (PACER)
Public Access to Court Electronic Records (PACER) is an online service of the U.S. federal judiciary that provides electronic public access to federal court case and docket information nationwide.
B. Central Data Repository for regulatory reports
The Central Data Repository for regulatory reports is a centralized system used by U.S. financial regulators to collect, store, and manage standardized regulatory reporting data from financial institutions.
C. Europol Information System
The Europol Information System is a centralized EU law enforcement database that stores and shares criminal intelligence to support cross-border crime investigations among member states.
D. Automatic Data Processing
Automatic Data Processing (ADP) is a major American provider of payroll, human resources, and workforce management software and services to businesses worldwide.
E. Dimensions (research database)
Dimensions is a comprehensive research database and analytics platform that aggregates scholarly publications, citations, grants, patents, and clinical trials to support discovery and evaluation across the research lifecycle.
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: Electronic Data Gathering, Analysis, and Retrieval system
Triple: [EDGAR, fullName, Electronic Data Gathering, Analysis, and Retrieval system]

Generated description

The Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system is the U.S. Securities and Exchange Commission’s online database that collects, stores, and provides public access to corporate financial and disclosure filings.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: Electronic Data Gathering, Analysis, and Retrieval system
Target entity description: The Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system is the U.S. Securities and Exchange Commission’s online database that collects, stores, and provides public access to corporate financial and disclosure filings.

A. Public Access to Court Electronic Records (PACER)
Public Access to Court Electronic Records (PACER) is an online service of the U.S. federal judiciary that provides electronic public access to federal court case and docket information nationwide.
B. Central Data Repository for regulatory reports
The Central Data Repository for regulatory reports is a centralized system used by U.S. financial regulators to collect, store, and manage standardized regulatory reporting data from financial institutions.
C. Europol Information System
The Europol Information System is a centralized EU law enforcement database that stores and shares criminal intelligence to support cross-border crime investigations among member states.
D. Automatic Data Processing
Automatic Data Processing (ADP) is a major American provider of payroll, human resources, and workforce management software and services to businesses worldwide.
E. Dimensions (research database)
Dimensions is a comprehensive research database and analytics platform that aggregates scholarly publications, citations, grants, patents, and clinical trials to support discovery and evaluation across the research lifecycle.
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_69bd464b07f8819095aa76577c9829e4`	completed	March 20, 2026, 1:06 p.m.
NER	Named-entity recognition	`batch_69bd85c9cff48190900d234a7569cd5d`	completed	March 20, 2026, 5:37 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69bf18c8db388190a31f55854e7370fc`	completed	March 21, 2026, 10:16 p.m.
NEDg	Description generation	`batch_69bf19c8273081908a5138e9af921ec7`	completed	March 21, 2026, 10:20 p.m.
NED2	Entity disambiguation (via description)	`batch_69bf1a3049648190b5040e587671610a`	completed	March 21, 2026, 10:22 p.m.

Created at: March 20, 2026, 2 p.m.