Triple
T19436302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyperspace |
E486231
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Epic Clarity reporting database |
—
|
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: Epic Clarity reporting database | Statement: [Hyperspace, integratesWith, Epic Clarity reporting database]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Epic Clarity reporting database Context triple: [Hyperspace, integratesWith, Epic Clarity reporting database]
-
A.
Actian
Actian is a data management and analytics company known for its hybrid data platforms and database technologies used in enterprise applications.
-
B.
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.
-
C.
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.
-
D.
ERDB
ERDB is a Philippine government bureau focused on conducting research and development to support the sustainable management and conservation of the country’s ecosystems and natural resources.
-
E.
Cornerstone database
Cornerstone database is a mid-1980s business database application developed by Infocom, notable for its user-friendly interface but commercial failure that contributed to the company's decline.
- 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: Epic Clarity reporting database Target entity description: Epic Clarity reporting database is Epic’s relational data warehouse optimized for complex clinical, financial, and operational reporting and analytics on data from the Epic electronic health record system.
-
A.
Actian
Actian is a data management and analytics company known for its hybrid data platforms and database technologies used in enterprise applications.
-
B.
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.
-
C.
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.
-
D.
ERDB
ERDB is a Philippine government bureau focused on conducting research and development to support the sustainable management and conservation of the country’s ecosystems and natural resources.
-
E.
Cornerstone database
Cornerstone database is a mid-1980s business database application developed by Infocom, notable for its user-friendly interface but commercial failure that contributed to the company's decline.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6336001488190a05f372779711ed2 |
completed | April 20, 2026, 2:08 p.m. |
Created at: April 10, 2026, 1:38 p.m.