Triple

T10247877
Position Surface form Disambiguated ID Type / Status
Subject Njebi E240263 entity
Predicate closelyRelatedTo P37 FINISHED
Object Sangu (Bantu) E264181 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: Sangu (Bantu) | Statement: [Njebi, closelyRelatedTo, Sangu (Bantu)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sangu (Bantu)
Context triple: [Njebi, closelyRelatedTo, Sangu (Bantu)]
  • A. Sangu (Bantu language) chosen
    Sangu is a Bantu language of Central Africa, known for its noun class system and close linguistic ties to neighboring Bantu languages such as Punu.
  • B. Sango language
    Sango is a Central African lingua franca and national language of the Central African Republic, originating as a Ngbandi-based trade language and now used widely in government, education, and daily communication.
  • C. Southwest Bantu
    Southwest Bantu is a subgroup of the Bantu language family comprising closely related languages spoken primarily in southwestern Africa.
  • D. Malasanga language
    The Malasanga language is an Oceanic language spoken in Papua New Guinea, belonging to the Kula–Malasanga subgroup of the Austronesian language family.
  • E. Sanglechi language
    The Sanglechi language is an Eastern Iranian language spoken by a small community in the Sanglech Valley region of Afghanistan and Tajikistan.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d22e0d4c8190a6712859924e9d3d completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7ade8448190830d950b7cee0c34 completed April 9, 2026, 12:49 a.m.
Created at: April 6, 2026, 11:27 a.m.