Triple

T22569399
Position Surface form Disambiguated ID Type / Status
Subject Meitei Mayek script E558038 entity
Predicate hasAlternativeName P39 FINISHED
Object Meetei Mayek 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: Meetei Mayek | Statement: [Meitei Mayek script, hasAlternativeName, Meetei Mayek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meetei Mayek
Context triple: [Meitei Mayek script, hasAlternativeName, Meetei Mayek]
  • A. Meetei Mayek chosen
    Meetei Mayek is the Unicode block that encodes the traditional Meitei Mayek script used for writing the Meitei (Manipuri) language of northeastern India.
  • B. Dholuo
    Dholuo is a Nilotic language spoken primarily by the Luo people of western Kenya and parts of Tanzania.
  • C. Pahawh Hmong
    Pahawh Hmong is an indigenous script devised in the 20th century specifically for writing the Hmong language, featuring a unique syllabic and tonal system distinct from Latin-based orthographies.
  • D. Tangut
    Tangut is an extinct Tibeto-Burman language once used in the Western Xia dynasty, best known today for its large and complex logographic writing system.
  • E. Bhutia
    Bhutia is a Sino-Tibetan language spoken primarily by the Bhutia community in the Himalayan regions of India, especially in Sikkim and parts of West Bengal.
  • 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_69e11e5ae4ac8190b1f503457603d969 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15fac7db08190ba4660535571498d completed April 29, 2026, 1:32 a.m.
Created at: April 16, 2026, 8:52 p.m.