Triple
T3510677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BT Group |
E74186
|
entity |
| Predicate | subsidiary |
P258
|
FINISHED |
| Object |
BT Consumer
BT Consumer is the retail division of BT Group that provides broadband, mobile, landline, and TV services to residential customers in the UK.
|
E363310
|
NE FINISHED |
How this triple was built (4 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: BT Consumer | Statement: [BT Group, subsidiary, BT Consumer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BT Consumer Context triple: [BT Group, subsidiary, BT Consumer]
-
A.
BT
BT is the vehicle registration code used on license plates for the city and district of Bayreuth in Upper Franconia, Germany.
-
B.
BT
BT is the two-letter ISO 3166-1 alpha-2 country code assigned to Bhutan for international standardization purposes.
-
C.
BT
BT is an American electronic music producer and composer known for pioneering trance and progressive electronic styles and for his innovative use of production techniques.
-
D.
Fitel
Fitel was a financial technology startup where Jeff Bezos worked early in his career, before joining D. E. Shaw and later founding Amazon.
-
E.
Telefunken
Telefunken is a historic German electronics and television brand known for its radios, audio equipment, and consumer electronics.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: BT Consumer Triple: [BT Group, subsidiary, BT Consumer]
Generated description
BT Consumer is the retail division of BT Group that provides broadband, mobile, landline, and TV services to residential customers in the UK.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BT Consumer Target entity description: BT Consumer is the retail division of BT Group that provides broadband, mobile, landline, and TV services to residential customers in the UK.
-
A.
BT
BT is the two-letter ISO 3166-1 alpha-2 country code assigned to Bhutan for international standardization purposes.
-
B.
BT
BT is the vehicle registration code used on license plates for the city and district of Bayreuth in Upper Franconia, Germany.
-
C.
BT
BT is an American electronic music producer and composer known for pioneering trance and progressive electronic styles and for his innovative use of production techniques.
-
D.
Fitel
Fitel was a financial technology startup where Jeff Bezos worked early in his career, before joining D. E. Shaw and later founding Amazon.
-
E.
Telefunken
Telefunken is a historic German electronics and television brand known for its radios, audio equipment, and consumer electronics.
- F. None of above. chosen
Provenance (5 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc0f6cf8819098a1ec8693cc50e7 |
completed | March 8, 2026, 6:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b373e71ae8819096ea39955c92076a |
completed | March 13, 2026, 2:18 a.m. |
| NEDg | Description generation | batch_69b374e50a088190ad4dc101efd68d54 |
completed | March 13, 2026, 2:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b37544b04c819090e6f59babd8017e |
completed | March 13, 2026, 2:24 a.m. |
Created at: March 8, 2026, 3:19 p.m.