Triple
T2188579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bertelsmann |
E49808
|
entity |
| Predicate | subsidiary |
P258
|
FINISHED |
| Object | Arvato |
E242298
|
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: Arvato | Statement: [Bertelsmann, subsidiary, Arvato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arvato Context triple: [Bertelsmann, subsidiary, Arvato]
-
A.
Arvato
chosen
Arvato is a global business process outsourcing and services provider specializing in customer relationship management, supply chain management, and digital solutions.
-
B.
Breda
Breda is a historic city in the southern Netherlands known for its medieval architecture, former status as a military and political center, and vibrant cultural life.
-
C.
Empa
Empa is a Swiss federal research institute focused on materials science and technology, known for developing innovative solutions for industry and society.
-
D.
Bohle
Bohle is a German surname most notably associated with Ernst Wilhelm Bohle, a high-ranking Nazi official and leader of the party’s foreign organization.
-
E.
Gollob
Gollob is a surname most notably associated with Gordon Gollob, a distinguished German Luftwaffe fighter ace of World War II.
- 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_69a88aaba3c48190b351cab9b26989ff |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf373c608190b7716c137b3e9fe9 |
completed | March 7, 2026, 6:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae654016a88190a242d43491f0726c |
completed | March 9, 2026, 6:14 a.m. |
Created at: March 4, 2026, 7:45 p.m.