Triple
T16792446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes-Benz Arena Berlin |
E408142
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | AEG Facilities |
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 Facilities | Statement: [Mercedes-Benz Arena Berlin, operator, AEG Facilities]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AEG Facilities Context triple: [Mercedes-Benz Arena Berlin, operator, AEG Facilities]
-
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.
AEP
AEP is the IATA airport code for Aeroparque Jorge Newbery, the main domestic and regional airport serving Buenos Aires, Argentina.
-
E.
AEP
AEP is a commonly used abbreviation for the Medicare Annual Enrollment Period, the yearly window when beneficiaries can change their Medicare coverage.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2a6c9888190b3f8f625b299574d |
completed | April 18, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00ab0e1e9c8190bb2ef0825b25f6e5 |
completed | May 10, 2026, 3:58 p.m. |
Created at: April 10, 2026, 5:22 a.m.