Triple

T11302837
Position Surface form Disambiguated ID Type / Status
Subject Dagbani language E267637 entity
Predicate closelyRelatedTo P37 FINISHED
Object Hanga language E917992 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: Hanga language | Statement: [Dagbani language, closelyRelatedTo, Hanga language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hanga language
Context triple: [Dagbani language, closelyRelatedTo, Hanga language]
  • A. Hanga language chosen
    The Hanga language is a Gur language spoken primarily in northern Ghana by the Hanga people.
  • B. Sori-Harengan language
    The Sori-Harengan language is an Oceanic language spoken in the Admiralty Islands of Papua New Guinea, belonging to the Admiralty Islands subgroup of the Austronesian language family.
  • C. Ronga language
    The Ronga language is a Bantu language spoken primarily in southern Mozambique, closely related to Tsonga and used by the Ronga people in the Maputo region.
  • D. Waihonga language
    The Waihonga language is a lesser-known Austronesian language of the Bima–Sumba subgroup spoken on or near the island of Sumba in eastern Indonesia.
  • E. Ta-ang language
    The Ta-ang language is a Mon–Khmer language spoken primarily by the Ta-ang (Palaung) ethnic group in parts of Myanmar, China, and neighboring regions.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9a5c3788190ba54eda514b97903 completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e525a842dc81909c84d8bd1a6414fa completed April 19, 2026, 6:57 p.m.
Created at: April 8, 2026, 9:32 p.m.