Triple

T11122141
Position Surface form Disambiguated ID Type / Status
Subject Kannada literature E263040 entity
Predicate hasScriptEvolution P32645 FINISHED
Object from Kadamba script to modern Kannada script 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: from Kadamba script to modern Kannada script | Statement: [Kannada literature, hasScriptEvolution, from Kadamba script to modern Kannada script]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasScriptEvolution
Context triple: [Kannada literature, hasScriptEvolution, from Kadamba script to modern Kannada script]
  • A. evolvedWith
    Indicates that two or more entities have undergone evolutionary change in mutual influence or parallel over time.
  • B. evolvesIn
    Indicates that an entity undergoes a process of change or development within a specified environment, context, or medium.
  • C. scriptEvolution chosen
    Indicates how a script or written system changes, develops, or transforms over time in relation to its earlier or later forms.
  • D. hasScriptTradition
    Indicates that one entity follows, preserves, or is associated with a particular script or writing tradition used for representation or transmission.
  • E. hasNotableScript
    Indicates that an entity is associated with a script (such as a writing system or screenplay) that is considered notable or significant.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79afa0ab88190ab6d61df8cf485ec completed April 9, 2026, 12:26 p.m.
PD Predicate disambiguation batch_69d7441efe948190ae4ab020121e169d completed April 9, 2026, 6:15 a.m.
Created at: April 8, 2026, 9:28 p.m.