Triple

T15706914
Position Surface form Disambiguated ID Type / Status
Subject Cyberman city E380735 entity
Predicate hasSecuritySystem P2368 FINISHED
Object automated Cyberman defenses 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: automated Cyberman defenses | Statement: [Cyberman city, hasSecuritySystem, automated Cyberman defenses]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSecuritySystem
Context triple: [Cyberman city, hasSecuritySystem, automated Cyberman defenses]
  • A. hasDoorGuard
    Indicates that an entity has another entity serving as a guard for its door or entrance.
  • B. securityApparatusControl
    Indicates that one entity exercises authority over, manages, or directs the operations and decisions of a security or law-enforcement apparatus.
  • C. securityFeature chosen
    Indicates that an entity provides, embodies, or is associated with a mechanism or property intended to enhance safety, protection, or defense against threats or vulnerabilities.
  • D. doorSafety
    Indicates that a door meets specified safety conditions or standards, such as being secure, unobstructed, and compliant with safety regulations.
  • E. hasSecurityPresence
    Indicates that some form of security personnel, system, or measures are present at or associated with an entity or location.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4d6b5788190883746ee82c799f5 completed April 16, 2026, 10:07 a.m.
PD Predicate disambiguation batch_69e0051d639481909a10614e8f83e659 completed April 15, 2026, 9:37 p.m.
Created at: April 10, 2026, 4:45 a.m.