Triple
T2231648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aegon |
E48778
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object |
Aegon Hungary
Aegon Hungary is the Hungarian insurance and financial services subsidiary of the multinational Aegon Group.
|
E245532
|
NE FINISHED |
How this triple was built (4 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 Hungary | Statement: [Aegon, hasSubsidiary, Aegon Hungary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aegon Hungary Context triple: [Aegon, hasSubsidiary, Aegon Hungary]
-
A.
Agria
Agria is a coastal town in the Magnesia regional unit of Thessaly, Greece, near the city of Volos.
-
B.
Ercsi
Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
-
C.
Sarolt
Sarolt was a prominent 10th-century Hungarian noblewoman and duchess, influential in the Christianization and early state formation of Hungary as the wife of Grand Prince Géza and mother of King Stephen I.
-
D.
Gárdony
Gárdony is a Hungarian town and popular resort area on the southern shore of Lake Velence, known for its beaches, thermal waters, and recreational tourism.
-
E.
Pál
Pál is a Hungarian given name, equivalent to the English name Paul.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Aegon Hungary Triple: [Aegon, hasSubsidiary, Aegon Hungary]
Generated description
Aegon Hungary is the Hungarian insurance and financial services subsidiary of the multinational Aegon Group.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aegon Hungary Target entity description: Aegon Hungary is the Hungarian insurance and financial services subsidiary of the multinational Aegon Group.
-
A.
Agria
Agria is a coastal town in the Magnesia regional unit of Thessaly, Greece, near the city of Volos.
-
B.
Ercsi
Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
-
C.
Sarolt
Sarolt was a prominent 10th-century Hungarian noblewoman and duchess, influential in the Christianization and early state formation of Hungary as the wife of Grand Prince Géza and mother of King Stephen I.
-
D.
Gárdony
Gárdony is a Hungarian town and popular resort area on the southern shore of Lake Velence, known for its beaches, thermal waters, and recreational tourism.
-
E.
Pál
Pál is a Hungarian given name, equivalent to the English name Paul.
- F. None of above. chosen
Provenance (5 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_69a88aa51b388190949868ec9766e587 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc06b7374819089fe643e12797bfd |
completed | March 7, 2026, 6:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae656a1f788190a08c3283bfedb6f4 |
completed | March 9, 2026, 6:15 a.m. |
| NEDg | Description generation | batch_69ae65d4f26481909808c97b95ca9b30 |
completed | March 9, 2026, 6:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae6670b6d88190a09023fae63f4000 |
completed | March 9, 2026, 6:19 a.m. |
Created at: March 4, 2026, 7:47 p.m.