Triple

T720282
Position Surface form Disambiguated ID Type / Status
Subject Old Malay E14600 entity
Predicate writingSystem P454 FINISHED
Object Pallava script E71417 NE 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: Pallava script | Statement: [Old Malay, writingSystem, Pallava script]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pallava script
Context triple: [Old Malay, writingSystem, Pallava script]
  • A. Pallava script chosen
    Pallava script is an ancient Brahmic writing system from South India that significantly influenced the development of many Southeast Asian scripts, including Kawi.
  • B. Grantha script
    Grantha script is a historical South Indian writing system primarily used to record Sanskrit texts, especially in the Tamil-speaking regions.
  • C. Brahmi script
    The Brahmi script is one of the oldest writing systems of the Indian subcontinent, serving as the ancestor of most modern South and Southeast Asian scripts.
  • D. Kadamba script
    Kadamba script is an ancient Brahmic writing system from South India that represents one of the earliest stages in the development of modern Kannada and Telugu scripts.
  • E. Nagari script
    Nagari script is an early North Indian writing system that evolved into later scripts such as Devanagari and was used historically for writing Sanskrit and related languages.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a4934c753c81909b309027e48b9b3a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a58e65e8819098cba7e6a20d8f33 completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a654de91bc819088d495c8a9cb4133 completed March 3, 2026, 3:26 a.m.
Created at: March 1, 2026, 7:37 p.m.