Triple

T6509929
Position Surface form Disambiguated ID Type / Status
Subject Mori Bawah language E150100 entity
Predicate hasDialects P4251 FINISHED
Object Mori Atas E601377 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: Mori Atas | Statement: [Mori Bawah language, hasDialects, Mori Atas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mori Atas
Context triple: [Mori Bawah language, hasDialects, Mori Atas]
  • A. Mori Atas chosen
    Mori Atas is an Austronesian language spoken by the Mori people in central Sulawesi, Indonesia.
  • B. Mori
    Mori is a Japanese surname shared by various notable individuals across fields such as entertainment, sports, and politics.
  • C. Murayama
    Murayama is a Japanese surname borne by various notable individuals across fields such as politics, science, and the arts.
  • D. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • E. Takamori
    Takamori is the given name of Saigō Takamori, a prominent 19th-century Japanese samurai and political figure often called the "last true samurai."
  • 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_69c687ef291081909d437f035eef1cda completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c69f398f10819096342f3646cefcc2 completed March 27, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e40ffb7081908f4dd4679bdefd85 completed March 27, 2026, 8:09 p.m.
Created at: March 27, 2026, 1:43 p.m.