Triple

T176553
Position Surface form Disambiguated ID Type / Status
Subject Marathi language E3586 entity
Predicate hasDigitalSupport P203 FINISHED
Object Unicode E3674 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: Unicode | Statement: [Marathi language, hasDigitalSupport, Unicode]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unicode
Context triple: [Marathi language, hasDigitalSupport, Unicode]
  • A. Unicode chosen
    Unicode is a universal character encoding standard that assigns unique code points to virtually all written scripts, symbols, and emojis used in modern computing.
  • B. Latin-1 Supplement
    Latin-1 Supplement is a Unicode block that extends the basic Latin script with additional characters, including accented letters and symbols used in many Western European languages.
  • C. Cyrillic script
    The Cyrillic script is an alphabetic writing system used for many Slavic and other Eurasian languages, including Russian, Bulgarian, Serbian, and Ukrainian.
  • D. Latin Extended-B
    Latin Extended-B is a Unicode block that adds additional Latin characters used for various historical, phonetic, and minority language orthographies beyond the basic Latin set.
  • E. Kawi script
    Kawi script is an ancient Brahmic-derived writing system historically used across Java and other parts of Southeast Asia to write Old Javanese and related languages.
  • 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: hasDigitalSupport
Context triple: [Marathi language, hasDigitalSupport, Unicode]
  • A. hasDigitalLibrary
    Indicates that an entity maintains or provides access to a collection of digital resources or publications.
  • B. supportsFeature chosen
    Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
  • C. typeOfSupport
    Indicates the kind or category of assistance, help, or backing provided in a given context.
  • D. hasDigitalInitiative
    Indicates that an entity is engaged in or associated with a specific digital project, program, or transformation effort.
  • E. hasSupported
    Indicates that one entity has provided assistance, endorsement, or backing to another entity, either materially, emotionally, or through advocacy.
  • 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_69a25374990081909766d30c79a18e0e completed Feb. 28, 2026, 2:31 a.m.
NER Named-entity recognition batch_69a258fd278481908ad4498e03f38e2f completed Feb. 28, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2ee8962a88190b6821e55f435c8b7 completed Feb. 28, 2026, 1:32 p.m.
PD Predicate disambiguation batch_69a25669d99481908c5e82ba8641205a completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:39 a.m.