Triple

T1934716
Position Surface form Disambiguated ID Type / Status
Subject Blu-ray Disc E41417 entity
Predicate layerStructure P33683 FINISHED
Object single-layer 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: single-layer | Statement: [Blu-ray Disc, layerStructure, single-layer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: layerStructure
Context triple: [Blu-ray Disc, layerStructure, single-layer]
  • A. segmentStructure
    Indicates that one entity represents a structural or organizational subdivision (a segment) within the overall structure of another entity.
  • B. viaStructure
    Indicates that one entity is connected to or accessed through a particular structural element or medium.
  • C. encodingStructure
    Indicates the structural scheme or format used to encode information or data.
  • D. rootStructure
    Indicates that one entity serves as the primary or foundational structural element upon which another entity is based or organized.
  • E. internalStructure
    Indicates that one entity is a component, part, or substructure contained within the overall structure of another entity.
  • 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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb29b51408190afb2f918814e68c7 completed March 7, 2026, 5:07 a.m.
PD Predicate disambiguation batch_69abaff07cf88190b4883c5f17f90abd completed March 7, 2026, 4:56 a.m.
PDg Predicate description generation batch_69abb25ef0ec8190b907963e9db0fe04 completed March 7, 2026, 5:06 a.m.
Created at: March 4, 2026, 7:35 p.m.