Triple

T2585356
Position Surface form Disambiguated ID Type / Status
Subject Mandalay E57185 entity
Predicate language P15 FINISHED
Object Burmese E72108 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: Burmese | Statement: [Mandalay, language, Burmese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burmese
Context triple: [Mandalay, language, Burmese]
  • A. Burmese chosen
    Burmese is the official Sino-Tibetan language of Myanmar, spoken by the majority Bamar ethnic group and used widely in government, education, and media.
  • B. Burmese script
    The Burmese script is an abugida used for writing the Burmese language and several other languages of Myanmar, characterized by its rounded letters and Indic origins.
  • C. Burmese people
    The Burmese people are the majority ethnic group of Myanmar, known for their distinct language, Theravada Buddhist traditions, and rich cultural heritage centered around the Irrawaddy River valley.
  • D. Burmese American
    A Burmese American is a U.S. resident or citizen of Burmese (Myanmar) origin, forming part of the broader Asian American community.
  • E. Rohingya language
    The Rohingya language is an Eastern Indo-Aryan language spoken primarily by the Rohingya people from Rakhine State in Myanmar and neighboring regions.
  • 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_69ab4a4dca6481908c301f8e317396e7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3cd07588190b3cb8cc348f12938 completed March 7, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69af6581f6fc819099ea28ecbb0093d7 completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:49 p.m.