Triple

T14375824
Position Surface form Disambiguated ID Type / Status
Subject Crawley Court E356470 entity
Predicate hasTenant P3277 FINISHED
Object Arqiva E72545 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: Arqiva | Statement: [Crawley Court, hasTenant, Arqiva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arqiva
Context triple: [Crawley Court, hasTenant, Arqiva]
  • A. Arqiva chosen
    Arqiva is a UK-based communications infrastructure and media services company that operates broadcast transmission networks and related services for television, radio, and wireless communications.
  • B. Carillion
    Carillion was a major British multinational facilities management and construction services company that became widely known for its high-profile projects and controversial collapse in 2018.
  • C. Centrica
    Centrica is a British multinational energy and services company best known as the owner of British Gas and a major supplier of gas and electricity in the UK and Ireland.
  • D. Cegelec
    Cegelec is an international engineering and technology services company specializing in electrical, automation, and information systems for infrastructure and industry.
  • E. EMI Group
    EMI Group was a major British music company and record label conglomerate known for its influential role in the global recording industry.
  • 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_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_69fd5bbf21a48190921e99685c7ef2b9 completed May 8, 2026, 3:42 a.m.
Created at: April 10, 2026, 1:16 a.m.