Triple
T18226932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FactSet |
E436444
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | FactSet Workstation |
—
|
NE NERFINISHED |
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: FactSet Workstation | Statement: [FactSet, product, FactSet Workstation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FactSet Workstation Context triple: [FactSet, product, FactSet Workstation]
-
A.
FactSet
chosen
FactSet is a financial data and analytics platform widely used by investment professionals for market data, research, and portfolio analysis.
-
B.
Bloomberg Terminal
Bloomberg Terminal is a proprietary computer software system that provides real-time financial data, news, analytics, and trading tools widely used by professionals in global markets.
-
C.
FMP
FMP (Free Music Production) was a pioneering German independent record label known for its influential releases in free jazz and avant-garde improvised music.
-
D.
FinanceScout24 GmbH
FinanceScout24 GmbH is a German online platform specializing in the comparison and brokerage of financial and insurance products, operating as part of the Scout24 group.
-
E.
EverFi
EverFi is an education technology company that develops and delivers digital courses focused on critical life skills such as financial literacy, health, and civic engagement for schools, universities, and businesses.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f4aff8748190be5e732f9dbc8dff |
completed | April 19, 2026, 3:28 p.m. |
Created at: April 10, 2026, 10:32 a.m.