Triple

T18711
Position Surface form Disambiguated ID Type / Status
Subject Latin alphabet E368 entity
Predicate encodedIn P1444 FINISHED
Object Unicode
Unicode is a universal character encoding standard that assigns unique code points to virtually all written scripts, symbols, and emojis used in modern computing.
E3674 NE FINISHED

How this triple was built (5 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: Unicode | Statement: [Latin alphabet, encodedIn, Unicode]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unicode
Context triple: [Latin alphabet, encodedIn, Unicode]
  • A. Kanji
    Kanji are logographic characters of Chinese origin used in the Japanese writing system alongside hiragana and katakana.
  • B. Vietnamese alphabet
    The Vietnamese alphabet is a modern Latin-based writing system that uses additional diacritics to represent the tones and specific sounds of the Vietnamese language.
  • C. Latin alphabet
    The Latin alphabet is the writing system originally used for Latin that has become the most widely adopted script in the world, forming the basis of many modern languages including English, Spanish, and French.
  • D. NLS
    NLS (oN-Line System) was an early, pioneering computer system that introduced many foundational concepts of modern computing, including the mouse, hypertext, and collaborative editing.
  • E. NMTI
    NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Unicode
Triple: [Latin alphabet, encodedIn, Unicode]
Generated description
Unicode is a universal character encoding standard that assigns unique code points to virtually all written scripts, symbols, and emojis used in modern computing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Unicode
Target entity description: Unicode is a universal character encoding standard that assigns unique code points to virtually all written scripts, symbols, and emojis used in modern computing.
  • A. Kanji
    Kanji are logographic characters of Chinese origin used in the Japanese writing system alongside hiragana and katakana.
  • B. Vietnamese alphabet
    The Vietnamese alphabet is a modern Latin-based writing system that uses additional diacritics to represent the tones and specific sounds of the Vietnamese language.
  • C. Latin alphabet
    The Latin alphabet is the writing system originally used for Latin that has become the most widely adopted script in the world, forming the basis of many modern languages including English, Spanish, and French.
  • D. NLS
    NLS (oN-Line System) was an early, pioneering computer system that introduced many foundational concepts of modern computing, including the mouse, hypertext, and collaborative editing.
  • E. NMTI
    NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: encodedIn
Context triple: [Latin alphabet, encodedIn, Unicode]
  • A. codifiedIn
    Indicates that something is formally recorded, defined, or established within a specific document, code, or legal/institutional text.
  • B. includes
    Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
  • C. protectedIn
    Indicates that one entity is safeguarded, preserved, or kept safe within the context, environment, or jurisdiction of another entity.
  • D. usedInLanguage
    Indicates that something (such as a word, expression, or symbol) is employed or occurs within a particular language.
  • E. describedIn
    Indicates that information about an entity is contained or documented within a specified source, such as a text, document, or media.
  • F. None of above. chosen

Provenance (7 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_69a240778d288190815c0052ebbbcc91 completed Feb. 28, 2026, 1:10 a.m.
NER Named-entity recognition batch_69a246cbca108190a92478df126d9bf8 completed Feb. 28, 2026, 1:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69a24e57e3fc8190a3ce561a4692115c completed Feb. 28, 2026, 2:09 a.m.
NEDg Description generation batch_69a24ede3374819089e7fae28c6c9d63 completed Feb. 28, 2026, 2:11 a.m.
NED2 Entity disambiguation (via description) batch_69a24fc8a2a881909e5ae2e03757fbec completed Feb. 28, 2026, 2:15 a.m.
PD Predicate disambiguation batch_69a2464f61648190ac690044be194972 completed Feb. 28, 2026, 1:35 a.m.
PDg Predicate description generation batch_69a246cb2904819085c13207565a1db2 completed Feb. 28, 2026, 1:37 a.m.
Created at: Feb. 28, 2026, 1:14 a.m.