Triple
T55773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IBM |
E1102
|
entity |
| Predicate | notableProduct |
P1448
|
FINISHED |
| Object | IBM Db2 |
E1102
|
NE FINISHED |
How this triple was built (2 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: IBM Db2 | Statement: [IBM, notableProduct, IBM Db2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IBM Db2 Context triple: [IBM, notableProduct, IBM Db2]
-
A.
Oracle Corporation
Oracle Corporation is a major American multinational technology company best known for its database software, cloud services, and enterprise software products.
-
B.
IBM
chosen
IBM is a multinational technology and consulting company known for its pioneering work in computer hardware, software, and enterprise services.
-
C.
Tableau
Tableau is a widely used data visualization and business intelligence software platform that enables users to analyze, explore, and present data through interactive dashboards and reports.
-
D.
BEA
BEA is a U.S. government agency that produces key economic statistics, including measures of national income, output, and growth.
-
E.
ERP
ERP is the commonly used abbreviation for the Marshall Plan, the U.S.-led post–World War II European Recovery Program that financed and coordinated Western Europe’s economic reconstruction.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a248adc5b48190aa8db9fb092fb28a |
completed | Feb. 28, 2026, 1:45 a.m. |
| NER | Named-entity recognition | batch_69a24b07f4a881909e32115e84da02a3 |
completed | Feb. 28, 2026, 1:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a255398bac81909c4ae9bba79f6c19 |
completed | Feb. 28, 2026, 2:38 a.m. |
Created at: Feb. 28, 2026, 1:50 a.m.