Triple
T3901202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MagentaSport |
E90492
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | Deutsche Telekom |
E264711
|
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: Deutsche Telekom | Statement: [MagentaSport, ownedBy, Deutsche Telekom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deutsche Telekom Context triple: [MagentaSport, ownedBy, Deutsche Telekom]
-
A.
Deutsche Telekom
chosen
Deutsche Telekom is a major German telecommunications company and one of the largest telecom providers in Europe, offering mobile, fixed-line, and internet services worldwide.
-
B.
Telenet Group
Telenet Group is a major Belgian telecommunications and entertainment provider offering services such as broadband internet, television, and mobile telephony.
-
C.
Telefónica S.A.
Telefónica S.A. is a major Spanish multinational telecommunications company that provides mobile, fixed-line, and broadband services across Europe and Latin America.
-
D.
Liberty Global
Liberty Global is a multinational telecommunications and television company that operates cable, broadband, and media services across Europe and other regions.
-
E.
Ericsson
Ericsson is a Swedish multinational telecommunications company known for providing mobile network infrastructure, services, and software to operators worldwide.
- 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_69aed95d315881908cbf1bf4a7215fbf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecf2f230819099abc109a0b7d916 |
completed | March 9, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5285093208190a2ba00afcbd8a261 |
completed | March 14, 2026, 9:20 a.m. |
Created at: March 9, 2026, 3:21 p.m.