Triple
T5208299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allianz |
E117565
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object | Allianz Technology |
E117565
|
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: Allianz Technology | Statement: [Allianz, hasDivision, Allianz Technology]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allianz Technology Context triple: [Allianz, hasDivision, Allianz Technology]
-
A.
Allianz
chosen
Allianz is a leading global financial services company, best known as one of the world’s largest insurance and asset management providers.
-
B.
Symphony Technology Group
Symphony Technology Group is a private equity firm specializing in investments in software, data, and technology-enabled services companies, particularly in the cybersecurity and enterprise technology sectors.
-
C.
Aon Corporation
Aon Corporation is a global professional services firm specializing in risk management, insurance brokerage, and human capital consulting.
-
D.
Unisys
Unisys is an American global information technology company known for providing IT services, software, and infrastructure solutions to government and commercial clients.
-
E.
Acrisure
Acrisure is a global insurance brokerage and financial technology company known for providing a wide range of risk management, insurance, and related financial services.
- 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_69bd4463dd3c81909966123f20b79d57 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a6d70d081908c74e86b3bca9ba2 |
completed | March 20, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beefd4b75c8190b1b87b8d93925245 |
completed | March 21, 2026, 7:21 p.m. |
Created at: March 20, 2026, 1:47 p.m.