Triple

T634396
Position Surface form Disambiguated ID Type / Status
Subject NTSC color television standard E15990 entity
Predicate colorEncodingMethod P17351 FINISHED
Object quadrature amplitude modulation of chrominance subcarrier 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: quadrature amplitude modulation of chrominance subcarrier | Statement: [NTSC color television standard, colorEncodingMethod, quadrature amplitude modulation of chrominance subcarrier]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: colorEncodingMethod
Context triple: [NTSC color television standard, colorEncodingMethod, quadrature amplitude modulation of chrominance subcarrier]
  • A. decodingMethod
    Indicates the technique or process used to convert encoded or encrypted data back into its original, interpretable form.
  • B. hasDigitalEncoding
    Indicates that one entity is represented, stored, or expressed using a specific digital code or encoding scheme provided by another entity.
  • C. encodes
    Indicates that one entity contains or represents the information, instructions, or structure of another in a coded or symbolic form.
  • D. hasFilmColorType
    Indicates that a film is associated with a particular color process or color classification (e.g., color, black-and-white).
  • E. encodingBasisFor
    Indicates that one encoding scheme serves as the foundational or reference basis for defining or interpreting another encoding.
  • 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_69a4935c131c8190a5378c6bf101e8cc completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ee4ee8481908ad45405e3f3835c completed March 1, 2026, 8:17 p.m.
PD Predicate disambiguation batch_69a49d0483908190a5ec42a7403c258e completed March 1, 2026, 8:09 p.m.
PDg Predicate description generation batch_69a49defe58c8190bd39ef47c9f660a7 completed March 1, 2026, 8:13 p.m.
Created at: March 1, 2026, 7:35 p.m.