Triple
T7499099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Millennium Dome |
E177212
|
entity |
| Predicate | managementCompany |
P2469
|
FINISHED |
| Object | AEG Europe |
E222077
|
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: AEG Europe | Statement: [Millennium Dome, managementCompany, AEG Europe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AEG Europe Context triple: [Millennium Dome, managementCompany, AEG Europe]
-
A.
AEG Europe
chosen
AEG Europe is a leading live entertainment and sports company that owns and operates major venues and events across Europe.
-
B.
AEG
AEG is a historic German electrical engineering and electronics company known for its pioneering role in power systems, appliances, and industrial technology.
-
C.
AEG power tools
AEG power tools is a brand of professional-grade electric power tools and equipment originally associated with the German electrical company AEG.
-
D.
Aral AG
Aral AG is a major German brand of fuel stations and petroleum products, widely recognized for its network of service stations across Germany.
-
E.
Bosch
Bosch is a multinational engineering and technology company best known for its automotive components, industrial products, and household appliances.
- 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_69c69f2696688190915a8458f2398211 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f597a0c08190b34fa283a11d98c7 |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c900ad081908506a2097f7fd30b |
completed | March 28, 2026, 8:39 p.m. |
Created at: March 27, 2026, 3:44 p.m.