Triple

T1055280
Position Surface form Disambiguated ID Type / Status
Subject Tosk E22786 entity
Predicate orthographicConvention P10346 FINISHED
Object follows unified Albanian orthography of 1972 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: follows unified Albanian orthography of 1972 | Statement: [Tosk, orthographicConvention, follows unified Albanian orthography of 1972]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: orthographicConvention
Context triple: [Tosk, orthographicConvention, follows unified Albanian orthography of 1972]
  • A. orthographicProperty
    Indicates a relationship where a specific written or spelling-related characteristic is attributed to or associated with an entity.
  • B. orthographicRole
    Indicates the functional role that a written form or spelling plays within an orthographic system (e.g., as a letter, diacritic, punctuation mark, or other script element).
  • C. hasOrthographicReform chosen
    Indicates that an entity has undergone or is associated with a change or standardization in its writing system or spelling conventions.
  • D. hasOrthographicPreference
    Indicates that one entity prefers or selects a particular written or spelling form of another entity.
  • E. logicConvention
    Indicates a relationship where entities participate in or are associated with a convention, event, or standard related to logic or logical systems.
  • 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_69a493da02e081908c13ff5e02a0fe7a completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8d79268819080f3f3f497e91c58 completed March 1, 2026, 10:08 p.m.
PD Predicate disambiguation batch_69a4b731e25c8190b5ea8466648c2c9a completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:42 p.m.