Triple

T17809134
Position Surface form Disambiguated ID Type / Status
Subject Luang Namtha Province E444650 entity
Predicate hasEthnicGroup P1898 FINISHED
Object Akha 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: Akha | Statement: [Luang Namtha Province, hasEthnicGroup, Akha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akha
Context triple: [Luang Namtha Province, hasEthnicGroup, Akha]
  • A. Akha chosen
    The Akha are an indigenous hill tribe of Southeast Asia known for their distinct traditional dress, rich oral culture, and villages in the mountainous border regions of countries such as Thailand, Laos, Myanmar, and China.
  • B. Hakha
    Hakha is a hill town in western Myanmar that serves as the administrative and cultural center of the Chin people.
  • C. Ashaki
    Ashaki is known as the spouse of Geronimo Pratt, a prominent former Black Panther Party leader and civil rights activist.
  • D. Akrar
    Akrar is a small village located on the island of Suðuroy in the Faroe Islands.
  • E. Achao
    Achao is a small coastal town on Quinchao Island in southern Chile, known for its traditional wooden architecture and historic UNESCO-listed church.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4887976e48190842840ef064dc772 completed April 19, 2026, 7:47 a.m.
Created at: April 10, 2026, 10:14 a.m.