Triple

T21201782
Position Surface form Disambiguated ID Type / Status
Subject Munji language E522471 entity
Predicate hasAlternativeName P39 FINISHED
Object Munjani 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: Munjani | Statement: [Munji language, hasAlternativeName, Munjani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Munjani
Context triple: [Munji language, hasAlternativeName, Munjani]
  • A. Munjani chosen
    Munjani is an alternative name for the Munji language, an Eastern Iranian language spoken primarily in Afghanistan’s Munjan Valley.
  • B. Mamu
    Mamu is a notable Odia novel by Fakir Mohan Senapati that satirically portrays social and political life in colonial Odisha.
  • C. Mamu
    Mamu is a town located within the Ijebu North local government area in Ogun State, southwestern Nigeria.
  • D. Muno
    Muno is a village in the municipality of Florenville in the Wallonia region of southern Belgium.
  • E. Mashi
    Mashi is a Bantu language spoken primarily in and around Bukavu in the eastern Democratic Republic of the Congo.
  • 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_69e0b5112d8881909510b2dcdc93106d completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73431973c81908c8682d7808a9d13 completed April 21, 2026, 8:24 a.m.
Created at: April 16, 2026, 3:18 p.m.