Triple

T10700770
Position Surface form Disambiguated ID Type / Status
Subject Celebrity Big Brother (UK series 2) E252268 entity
Predicate hasSurveillanceType P3792 FINISHED
Object closed-circuit television LITERAL 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: closed-circuit television | Statement: [Celebrity Big Brother (UK series 2), hasSurveillanceType, closed-circuit television]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSurveillanceType
Context triple: [Celebrity Big Brother (UK series 2), hasSurveillanceType, closed-circuit television]
  • A. hasCCTV chosen
    Indicates that one entity is equipped with or monitored by a CCTV (closed-circuit television) system installed or provided by another entity.
  • B. hasLookout
    Indicates that one entity serves as a lookout or watchful observer for another entity, monitoring for potential events, threats, or changes.
  • C. hasSensor
    Indicates that one entity is equipped with, contains, or uses a particular sensor.
  • D. hasSecurityPresence
    Indicates that some form of security personnel, system, or measures are present at or associated with an entity or location.
  • E. hasSecurityOversightBy
    Indicates that the security responsibilities, controls, or governance for one entity are overseen, managed, or supervised by another entity.
  • F. None of above.

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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd8bb7408190a350840e1df3b910 completed April 9, 2026, 1:14 a.m.
PD Predicate disambiguation batch_69d6dd8cc0788190b4c02a772e4b58b3 completed April 8, 2026, 10:58 p.m.
Created at: April 8, 2026, 9:12 p.m.