Triple

T6010633
Position Surface form Disambiguated ID Type / Status
Subject ILC detector concepts E133820 entity
Predicate includeSubsystem P840 FINISHED
Object vertex detector 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: vertex detector | Statement: [ILC detector concepts, includeSubsystem, vertex detector]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includeSubsystem
Context triple: [ILC detector concepts, includeSubsystem, vertex detector]
  • A. hasSisterSubsystem
    Indicates that one subsystem is related to another as a sister subsystem, meaning they share a common parent system or hierarchical level.
  • B. replacedSubsystem
    Indicates that one subsystem has been substituted or exchanged for another, taking over its role or function.
  • C. subunitOf
    Indicates that one entity functions as a component or smaller part within the structure or organization of another, larger entity.
  • D. partOfSystem chosen
    Indicates that one entity functions as a component or subsystem within the structure or organization of another entity.
  • E. isCoreComponentOf
    Indicates that something is an essential, foundational part required for the structure, function, or identity of 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_69c0087361a48190905c6b55969852b8 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f4ffa008190a8ef701b82260219 completed March 22, 2026, 8:21 p.m.
PD Predicate disambiguation batch_69c049e4daf4819099bf870dc700e0a2 completed March 22, 2026, 7:58 p.m.
Created at: March 22, 2026, 4:06 p.m.