Triple
T10416426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aegon N.V. |
E245526
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object | AGN |
E245528
|
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: AGN | Statement: [Aegon N.V., tickerSymbol, AGN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AGN Context triple: [Aegon N.V., tickerSymbol, AGN]
-
A.
AGN
chosen
AGN is the stock ticker symbol for Aegon, a multinational life insurance, pensions, and asset management company headquartered in the Netherlands.
-
B.
Blazar
Blazar is the OpenStack reservation service that enables users to book cloud resources such as compute, storage, and networking in advance for guaranteed availability.
-
C.
AGA
AGA is the Advanced Graphics Architecture chipset used in later Commodore Amiga computers, providing enhanced color depth and graphics capabilities over earlier Amiga chipsets.
-
D.
AGA
AGA is a Swedish industrial gas and engineering company historically known for its innovations in lighthouse technology and gas appliances.
-
E.
AGA
AGA is a continental framework of the African Union that promotes and coordinates good governance, democracy, human rights, and the rule of law across African states.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea108fec8190819423630888fa2b |
completed | April 7, 2026, 11:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fc0dd480819082edcc49a245ad4f |
completed | April 9, 2026, 7:20 p.m. |
Created at: April 6, 2026, 12:10 p.m.