Triple
T20006478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oracle iStore |
E494471
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Oracle Marketing |
—
|
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: Oracle Marketing | Statement: [Oracle iStore, integratesWith, Oracle Marketing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oracle Marketing Context triple: [Oracle iStore, integratesWith, Oracle Marketing]
-
A.
IBM Enterprise Marketing Management
IBM Enterprise Marketing Management is a suite of integrated software solutions designed to help enterprises plan, execute, and analyze multichannel marketing campaigns and customer interactions.
-
B.
Amazon Marketing Cloud
Amazon Marketing Cloud is a secure, privacy-safe analytics environment from Amazon that enables advertisers to perform advanced, cross-channel measurement and attribution using aggregated Amazon Ads and first-party data.
-
C.
Adobe Marketing Cloud
Adobe Marketing Cloud is a suite of integrated digital marketing tools and analytics services from Adobe that helps businesses manage, measure, and optimize their online marketing efforts.
-
D.
Wharton Customer Analytics
Wharton Customer Analytics is a research and education center at the Wharton School focused on advancing data-driven customer analytics through academic-industry collaboration.
-
E.
Acxiom
Acxiom is a global data and marketing technology company known for providing consumer data, analytics, and audience targeting solutions to businesses.
- 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: Oracle Marketing Target entity description: Oracle Marketing is an enterprise marketing automation and campaign management application within the Oracle E-Business Suite that helps organizations plan, execute, and analyze multi-channel marketing initiatives.
-
A.
IBM Enterprise Marketing Management
IBM Enterprise Marketing Management is a suite of integrated software solutions designed to help enterprises plan, execute, and analyze multichannel marketing campaigns and customer interactions.
-
B.
Amazon Marketing Cloud
Amazon Marketing Cloud is a secure, privacy-safe analytics environment from Amazon that enables advertisers to perform advanced, cross-channel measurement and attribution using aggregated Amazon Ads and first-party data.
-
C.
Adobe Marketing Cloud
Adobe Marketing Cloud is a suite of integrated digital marketing tools and analytics services from Adobe that helps businesses manage, measure, and optimize their online marketing efforts.
-
D.
Wharton Customer Analytics
Wharton Customer Analytics is a research and education center at the Wharton School focused on advancing data-driven customer analytics through academic-industry collaboration.
-
E.
Acxiom
Acxiom is a global data and marketing technology company known for providing consumer data, analytics, and audience targeting solutions to businesses.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a57ef881909115c8aa232b1012 |
completed | April 20, 2026, 5:25 p.m. |
Created at: April 11, 2026, 3:33 p.m.