Triple

T1096576
Position Surface form Disambiguated ID Type / Status
Subject sRGB E24283 entity
Predicate backwardCompatibilityGoal P4617 FINISHED
Object compatibility with legacy CRT monitors 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: compatibility with legacy CRT monitors | Statement: [sRGB, backwardCompatibilityGoal, compatibility with legacy CRT monitors]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: backwardCompatibilityGoal
Context triple: [sRGB, backwardCompatibilityGoal, compatibility with legacy CRT monitors]
  • A. backwardCompatibility chosen
    Indicates that one entity remains functional or compatible when used with an earlier version or older form of another entity.
  • B. backwardCompatibleWith
    Indicates that one entity can correctly interpret, use, or function with data, interfaces, or behavior designed for an earlier version of another entity.
  • C. legacyGoal
    Indicates that an entity has a long-term, enduring objective or impact it aims to leave behind beyond its immediate actions or existence.
  • D. previousVersionAdopted
    Indicates that one entity has been adopted or implemented as a successor to an earlier version represented by the other entity.
  • E. historicallyImplementedAs
    Indicates that one entity was used or realized as another entity in the past, even if that is no longer the case.
  • 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_69a4940542308190ac2a0b1f730b7cfc completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b99ffb3481908cd168b6c58e1c6d completed March 1, 2026, 10:11 p.m.
PD Predicate disambiguation batch_69a4b7448c148190a3c9a4158ebd05b4 completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:42 p.m.