Triple

T11498143
Position Surface form Disambiguated ID Type / Status
Subject Cyberjaya E272596 entity
Predicate masterPlanner P12807 FINISHED
Object Cyberview Sdn Bhd E929212 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: Cyberview Sdn Bhd | Statement: [Cyberjaya, masterPlanner, Cyberview Sdn Bhd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cyberview Sdn Bhd
Context triple: [Cyberjaya, masterPlanner, Cyberview Sdn Bhd]
  • A. Cyberview Sdn Bhd chosen
    Cyberview Sdn Bhd is a Malaysian government-linked company responsible for planning, developing, and promoting Cyberjaya as a global technology hub and smart city.
  • B. CYB
    CYB is the IATA airport code for Charles Kirkconnell International Airport serving Cayman Brac in the Cayman Islands.
  • C. Kaseya Limited
    Kaseya Limited is an IT management and security software company known for providing remote monitoring, endpoint management, and cybersecurity solutions to managed service providers and enterprises.
  • D. SIGA Technologies
    SIGA Technologies is a pharmaceutical company specializing in the development of antiviral treatments, particularly for smallpox and other orthopoxvirus infections.
  • E. Cylink Corporation
    Cylink Corporation was a pioneering American company specializing in data encryption and network security technologies, particularly for government and enterprise communications.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85de27db081909ccdb4ab0ef75bdb completed April 10, 2026, 2:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69e624d666c081908253cea4e2da1a4a completed April 20, 2026, 1:06 p.m.
Created at: April 8, 2026, 9:36 p.m.