Triple
T10416624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aegon Spain |
E245533
|
entity |
| Predicate | operatesAs |
P310
|
FINISHED |
| Object | Aegon España |
E245533
|
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: Aegon España | Statement: [Aegon Spain, operatesAs, Aegon España]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aegon España Context triple: [Aegon Spain, operatesAs, Aegon España]
-
A.
Aegon Spain
chosen
Aegon Spain is the Spanish branch of the international insurance and financial services group Aegon, offering life insurance, pensions, and investment products in the Spanish market.
-
B.
Aegon Hungary
Aegon Hungary is the Hungarian insurance and financial services subsidiary of the multinational Aegon Group.
-
C.
Alt Maestrat
Alt Maestrat is a rural inland comarca in the Valencian Community of Spain, known for its mountainous landscapes, historic villages, and traditional agriculture.
-
D.
Balazote
Balazote is a municipality in the province of Albacete, Spain, known for its archaeological heritage and rural Castilian-La Mancha setting.
-
E.
Azaña
Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
- 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_69d87e9b86648190b83eb5261c9a7b97 |
completed | April 10, 2026, 4:37 a.m. |
Created at: April 6, 2026, 12:10 p.m.