Triple

T7654757
Position Surface form Disambiguated ID Type / Status
Subject Logba language E173351 entity
Predicate region P40 FINISHED
Object Volta Region E133744 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: Volta Region | Statement: [Logba language, region, Volta Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Volta Region
Context triple: [Logba language, region, Volta Region]
  • A. Volta Region chosen
    The Volta Region is an eastern administrative region of Ghana known for its diverse Ewe culture, lush landscapes, and attractions such as Lake Volta and Wli Waterfalls.
  • B. Geita Region
    Geita Region is an administrative region in northwestern Tanzania, known for its significant gold mining activities and proximity to Lake Victoria.
  • C. Karas Region
    Karas Region is the southernmost administrative region of Namibia, known for its arid landscapes, desert scenery, and coastal towns along the Atlantic Ocean.
  • D. Vengi region
    The Vengi region was a historically significant area in eastern India, centered in present-day coastal Andhra Pradesh, known as a major political and cultural center in early medieval South India.
  • E. Amu region
    The Amu region is a geographic area where the Kiamu language is traditionally spoken, likely associated with a specific local community or ethnic group.
  • 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_69c6995473348190a4f41d110d619a18 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7018d4cdc819092ca297b836190d9 completed March 27, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89afd1438819080c8f097df1d1453 completed March 29, 2026, 3:22 a.m.
Created at: March 27, 2026, 3:59 p.m.