Triple

T13160490
Position Surface form Disambiguated ID Type / Status
Subject Sena of Tete E312712 entity
Predicate subdivisionOf P258 FINISHED
Object Sena language E1024425 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: Sena language | Statement: [Sena of Tete, subdivisionOf, Sena language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sena language
Context triple: [Sena of Tete, subdivisionOf, Sena language]
  • A. Sena language chosen
    The Sena language is a Bantu language spoken primarily in central Mozambique, with several regional varieties used by different Sena communities.
  • B. Nomatsiguenga language
    The Nomatsiguenga language is an Arawakan language spoken by the Nomatsiguenga people of Peru’s Amazon rainforest, closely associated with the broader Asháninka linguistic and cultural group.
  • C. Segai language
    The Segai language is an Austronesian language spoken by the Segai people of Borneo, belonging to the Kayanic subgroup.
  • D. Saho language
    The Saho language is an Afroasiatic Cushitic language spoken primarily by the Saho people in Eritrea and northern Ethiopia.
  • E. Bitama language
    The Bitama language is a lesser-known Nilo-Saharan language spoken by a subgroup of the Kunama people in the Horn of Africa.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c0971008190869e9de710f4c579 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5df07ec8190be64ed80d7e220b7 completed May 3, 2026, 7:14 a.m.
Created at: April 9, 2026, 9:12 p.m.