Triple

T14376392
Position Surface form Disambiguated ID Type / Status
Subject O2 mobile network E356484 entity
Predicate hasCompetitor P1375 FINISHED
Object Three UK
Three UK is a major British telecommunications company providing mobile network and data services across the United Kingdom.
 E1095658 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: Three UK | Statement: [O2 mobile network, hasCompetitor, Three UK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Three UK
Context triple: [O2 mobile network, hasCompetitor, Three UK]
  • A. UKE
    UKE is the commonly used acronym for Kore University of Enna, a private university located in Enna, Sicily, Italy.
  • B. UK
    UK is the stock ticker symbol for Union Carbide Corporation, a major American chemical and polymers company historically known for its industrial products and the Bhopal disaster.
  • C. UK
    UK is a common abbreviation for the Kentucky Wildcats football program, the intercollegiate football team representing the University of Kentucky.
  • D. UK SC
    UK SC is the commonly used abbreviation for the Supreme Court of the United Kingdom, the highest appellate court in the UK for civil cases and for criminal cases from England, Wales, and Northern Ireland.
  • E. So Uk
    So Uk is a residential area in Hong Kong known for its public housing estates and long-standing working-class community.
  • 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: Three UK
Triple: [O2 mobile network, hasCompetitor, Three UK]
Generated description
Three UK is a major British telecommunications company providing mobile network and data services across the United Kingdom.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Three UK
Target entity description: Three UK is a major British telecommunications company providing mobile network and data services across the United Kingdom.
  • A. UKE
    UKE is the commonly used acronym for Kore University of Enna, a private university located in Enna, Sicily, Italy.
  • B. UK
    UK is the stock ticker symbol for Union Carbide Corporation, a major American chemical and polymers company historically known for its industrial products and the Bhopal disaster.
  • C. UK
    UK is a common abbreviation for the Kentucky Wildcats football program, the intercollegiate football team representing the University of Kentucky.
  • D. UK SC
    UK SC is the commonly used abbreviation for the Supreme Court of the United Kingdom, the highest appellate court in the UK for civil cases and for criminal cases from England, Wales, and Northern Ireland.
  • E. So Uk
    So Uk is a residential area in Hong Kong known for its public housing estates and long-standing working-class community.
  • 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.