Triple

T14376362
Position Surface form Disambiguated ID Type / Status
Subject O2 mobile network E356484 entity
Predicate formerName P65 FINISHED
Object BT Cellnet
BT Cellnet was a major UK mobile phone network operator that later became part of the O2 brand.
 E1095657 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 Cellnet | Statement: [O2 mobile network, formerName, BT Cellnet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BT Cellnet
Context triple: [O2 mobile network, formerName, BT Cellnet]
  • A. BTK
    BTK (Bruton’s tyrosine kinase) is a key signaling enzyme in B cells and a major therapeutic target in certain blood cancers and autoimmune diseases.
  • B. BTK
    BTK is the ICAO airline designator assigned to Batik Air, an Indonesian full-service carrier.
  • C. Netze
    Netze is the German name for the Noteć, a river in north-central Poland that is a tributary of the Warta.
  • D. Bt
    Bt is the post-nominal abbreviation for a baronetcy title in the British honours system, indicating that the holder is a baronet.
  • E. 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.
  • 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 Cellnet
Triple: [O2 mobile network, formerName, BT Cellnet]
Generated description
BT Cellnet was a major UK mobile phone network operator that later became part of the O2 brand.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BT Cellnet
Target entity description: BT Cellnet was a major UK mobile phone network operator that later became part of the O2 brand.
  • A. BTK
    BTK (Bruton’s tyrosine kinase) is a key signaling enzyme in B cells and a major therapeutic target in certain blood cancers and autoimmune diseases.
  • B. BTK
    BTK is the ICAO airline designator assigned to Batik Air, an Indonesian full-service carrier.
  • C. Netze
    Netze is the German name for the Noteć, a river in north-central Poland that is a tributary of the Warta.
  • D. Bt
    Bt is the post-nominal abbreviation for a baronetcy title in the British honours system, indicating that the holder is a baronet.
  • E. 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.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900949fc81909be0da1734c46645 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c5514688190be90776c8764d4f3 completed May 8, 2026, 2:37 a.m.
NEDg Description generation batch_69fd4d56b67c8190bc9ecd4f444df780 completed May 8, 2026, 2:41 a.m.
NED2 Entity disambiguation (via description) batch_69fd4e9a678c8190bd1821e6c43a3a1a completed May 8, 2026, 2:46 a.m.
Created at: April 10, 2026, 1:16 a.m.