Triple

T3664277
Position Surface form Disambiguated ID Type / Status
Subject Cyber-King E77722 entity
Predicate technologyOrigin P50245 FINISHED
Object Cyberman technology 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: Cyberman technology | Statement: [Cyber-King, technologyOrigin, Cyberman technology]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: technologyOrigin
Context triple: [Cyber-King, technologyOrigin, Cyberman technology]
  • A. technologyPioneered
    Indicates that an entity was the first or among the first to develop, introduce, or significantly advance a particular technology.
  • B. originallyDevelopedFor
    Indicates that something was first created, designed, or produced with the primary purpose of serving a particular use, user group, context, or application.
  • C. wasInventedBy
    Indicates that something (typically an object, concept, or process) was created or brought into existence by a particular inventor or originator.
  • D. foundersOrigin
    Indicates that the relationship specifies the geographic or cultural origin of the founders of an entity.
  • E. placeOfDevelopment
    Indicates the location where something (such as a product, project, or work) was created, designed, or developed.
  • F. None of above. chosen

Provenance (4 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3fe5eb08190ab15044acf9ac8a9 completed March 8, 2026, 6:46 p.m.
PD Predicate disambiguation batch_69adb847e9d881909dad2ffd0f3b6c15 completed March 8, 2026, 5:56 p.m.
PDg Predicate description generation batch_69adb97cdb788190a5ce96b21bd157ab completed March 8, 2026, 6:01 p.m.
Created at: March 8, 2026, 3:25 p.m.