Triple

T655211
Position Surface form Disambiguated ID Type / Status
Subject Myanmar E11632 entity
Predicate ethnicGroup P194 FINISHED
Object Shan E56815 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: Shan | Statement: [Myanmar, ethnicGroup, Shan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shan
Context triple: [Myanmar, ethnicGroup, Shan]
  • A. Shan chosen
    The Shan are a Tai ethnic group primarily inhabiting Myanmar's Shan State, known for their distinct language, Buddhist traditions, and historical Shan principalities.
  • B. Shina
    Shina is an Indo-Aryan language spoken primarily in the Gilgit-Baltistan region of Pakistan and surrounding Himalayan areas.
  • C. Shimsha
    Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
  • D. Shi
    Shi is a Chinese surname historically associated with members of the Jewish community in Kaifeng, China.
  • E. Chun
    Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f4d57688190a9515ac494a97b22 completed March 1, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69a637452b0c8190a1e82989f20e68db completed March 3, 2026, 1:20 a.m.
Created at: March 1, 2026, 7:36 p.m.