Triple

T23257197
Position Surface form Disambiguated ID Type / Status
Subject Bo District E581904 entity
Predicate borderedBy P224 FINISHED
Object Bonthe District 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: Bonthe District | Statement: [Bo District, borderedBy, Bonthe District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bonthe District
Context triple: [Bo District, borderedBy, Bonthe District]
  • A. Bonthe District chosen
    Bonthe District is an administrative district in southern Sierra Leone, known for its coastal and island communities and significant Mende population.
  • B. Dantu District
    Dantu District is an administrative district of the city of Zhenjiang in Jiangsu Province, eastern China, known for its mix of urban development and industrial areas along the Yangtze River.
  • C. Monywa District
    Monywa District is an administrative district in Myanmar’s Sagaing Region, centered around the city of Monywa and known for its agricultural economy and regional trade.
  • D. Mporokoso District
    Mporokoso District is an administrative district in northern Zambia known for its rural communities, waterfalls, and cultural diversity.
  • E. Sironko District
    Sironko District is an administrative district in eastern Uganda known for its predominantly rural communities and agriculture-based economy.
  • 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194c5f5bc8190ac8776f7f7430209 completed April 29, 2026, 5:19 a.m.
Created at: April 17, 2026, 4:11 p.m.