Triple

T9606127
Position Surface form Disambiguated ID Type / Status
Subject Nilotic languages E231975 entity
Predicate majorLanguage P207 FINISHED
Object Maasai language E50220 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: Maasai language | Statement: [Nilotic languages, majorLanguage, Maasai language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maasai language
Context triple: [Nilotic languages, majorLanguage, Maasai language]
  • A. Maasai language chosen
    Maasai language is an Eastern Nilotic language spoken primarily by the Maasai people of Kenya and Tanzania, known for its rich oral tradition and distinctive phonology.
  • B. Mamboru language
    The Mamboru language is an Austronesian language spoken by a small community on Sumba Island in eastern Indonesia.
  • C. Mwaghavul language
    The Mwaghavul language is a West Chadic language spoken primarily in Plateau State, central Nigeria, by the Mwaghavul people.
  • D. Masela language
    The Masela language is an Austronesian language spoken on Masela Island in Indonesia’s Maluku region, belonging to the Babar subgroup of Central–Eastern Malayo-Polynesian languages.
  • E. Ngamo language
    The Ngamo language is a West Chadic language spoken primarily in northeastern Nigeria by the Ngamo people.
  • 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_69ca8485a90c819094fe40b42fde9d70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a6006d48190adc03306533b9be6 completed April 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d17939ed4c8190addfb052b762d454 completed April 4, 2026, 8:48 p.m.
Created at: March 30, 2026, 8:08 p.m.