Triple

T22394359
Position Surface form Disambiguated ID Type / Status
Subject Raman (Telugu: రామన్) E553590 entity
Predicate writingSystem P454 FINISHED
Object Abugida NE NERFINISHED

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: Abugida | Statement: [Raman (Telugu: రామన్), writingSystem, Abugida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abugida
Context triple: [Raman (Telugu: రామన్), writingSystem, Abugida]
  • A. Brahmic scripts chosen
    Brahmic scripts are a family of abugida writing systems that originated in ancient India and gave rise to many of the scripts used across South and Southeast Asia.
  • B. Bamum script
    Bamum script is an indigenous writing system from Cameroon, created in the late 19th century by King Ibrahim Njoya to record the Bamum language and culture.
  • C. Ruqʿah script
    Ruqʿah script is a simple, highly legible Arabic handwriting style commonly used for everyday writing and official documents in the Arab world.
  • D. N'Ko script
    N'Ko script is an indigenous alphabetic writing system created in 1949 by Solomana Kante for Manding languages of West Africa, such as Mandinka, Bambara, and Dyula.
  • E. Tifinagh
    Tifinagh is an ancient and modern script used primarily to write Berber (Amazigh) languages across North Africa.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4cf87c8190a1ff474daec326b7 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1585dac3c8190bc221f35b3eefa3f completed April 29, 2026, 1:01 a.m.
Created at: April 16, 2026, 8:45 p.m.