Triple

T21607595
Position Surface form Disambiguated ID Type / Status
Subject Sinaugoro language E533217 entity
Predicate region P40 FINISHED
Object Central Province 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: Central Province | Statement: [Sinaugoro language, region, Central Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Province
Context triple: [Sinaugoro language, region, Central Province]
  • A. Central Province
    Central Province is an administrative region of the Solomon Islands that encompasses parts of the country's central island groups, including the Florida Islands.
  • B. Central Province chosen
    Central Province is a coastal region of Papua New Guinea surrounding the national capital district and encompassing diverse rural communities, mountains, and lowland plains.
  • C. Central Province
    Central Province is an inland region of Zambia known for its agricultural activities, wildlife areas, and key transport routes linking the country’s north and south.
  • D. Central Province
    Central Province is a mountainous region in central Sri Lanka known for its historic cities, tea plantations, and the cultural capital Kandy.
  • E. Central Province
    Central Province was a former administrative region in central Kenya known for its fertile highlands, significant agricultural production, and predominantly Kikuyu population.
  • 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_69e0c46364608190a337dc8720dc2a35 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef17e6378881908678dc903b8ba6ac completed April 27, 2026, 8:01 a.m.
Created at: April 16, 2026, 6:33 p.m.