Triple
T1804682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virgin Mobile |
E39793
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Virgin Mobile France |
E39793
|
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: Virgin Mobile France | Statement: [Virgin Mobile, associatedWith, Virgin Mobile France]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Virgin Mobile France Context triple: [Virgin Mobile, associatedWith, Virgin Mobile France]
-
A.
Virgin Mobile
chosen
Virgin Mobile is a wireless communications brand offering mobile phone services in multiple countries as part of Richard Branson’s broader Virgin Group.
-
B.
T-Mobile US
T-Mobile US is a major American wireless network operator known for its nationwide mobile phone services and aggressive “Un-carrier” marketing strategy.
-
C.
Alcatel
Alcatel is a multinational telecommunications equipment and networking company known for providing infrastructure, mobile, and broadband solutions worldwide.
-
D.
MTN
MTN is the stock ticker symbol for Vail Resorts, a major operator of ski resorts and mountain recreation properties.
-
E.
Telefónica UK
Telefónica UK is a major British telecommunications company best known for operating the O2 mobile network and providing mobile, broadband, and related digital services across the United Kingdom.
- 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_69a88632aa588190ba3978fde0db5bbd |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa659648e8819085fafb60dc03f14b |
completed | March 6, 2026, 5:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1baea1c8190a452ffb17dc91aa0 |
completed | March 8, 2026, 7:44 p.m. |
Created at: March 4, 2026, 7:32 p.m.