Triple

T10346
Position Surface form Disambiguated ID Type / Status
Subject English E211 entity
Predicate hasWritingSystem P454 FINISHED
Object Latin alphabet E368 NE FINISHED

How this triple was built (3 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: Latin alphabet | Statement: [English, hasWritingSystem, Latin alphabet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Latin alphabet
Context triple: [English, hasWritingSystem, Latin alphabet]
  • A. Latin alphabet chosen
    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.
  • B. English
    English is a widely spoken West Germanic language that serves as a global lingua franca in education, business, science, and international communication.
  • C. 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.
  • D. Norman
    Norman is a masculine given name of English origin that became widely used in the English-speaking world.
  • E. Veritas
    Veritas is the Latin word for "truth" and is famously used as the motto of Harvard University.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasWritingSystem
Context triple: [English, hasWritingSystem, Latin alphabet]
  • A. writingSystem chosen
    Indicates that one entity is the script or system of written symbols used to represent the language or content of another entity.
  • B. hasSignificantLanguage
    Indicates that an entity possesses a language that plays an important or primary role in its communication, identity, or functioning.
  • C. recognizedLanguage
    Indicates that an entity has identified, detected, or acknowledged a particular language as being used or present.
  • D. nativeLanguage
    Indicates the language that a person or entity originally learned and uses as their primary or first language.
  • E. officialLanguage
    Indicates that a particular language has been formally designated by an authority as the official language used for government, legal, or administrative purposes in a given jurisdiction.
  • F. None of above.

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_69a23d7ad88c8190bffe8ab091d86642 completed Feb. 28, 2026, 12:57 a.m.
NER Named-entity recognition batch_69a242cd8fb481909562f114f4ce7700 completed Feb. 28, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69a248deaab88190952bad0998755baf completed Feb. 28, 2026, 1:46 a.m.
PD Predicate disambiguation batch_69a23fe6b0bc8190bcce9b74f2c5fb08 completed Feb. 28, 2026, 1:07 a.m.
Created at: Feb. 28, 2026, 1:02 a.m.