Triple

T8932791
Position Surface form Disambiguated ID Type / Status
Subject Prince Johnson E212696 entity
Predicate residence P75 FINISHED
Object Nimba County E197930 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: Nimba County | Statement: [Prince Johnson, residence, Nimba County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nimba County
Context triple: [Prince Johnson, residence, Nimba County]
  • A. Nimba County chosen
    Nimba County is a large, resource-rich county in northeastern Liberia that has been a significant site of political, ethnic, and military activity in the country’s modern history.
  • B. Bomi County
    Bomi County is an administrative region in western Liberia known for its role in the country’s civil conflicts and its predominantly rural, resource-rich landscape.
  • C. Margibi County
    Margibi County is an administrative region in central Liberia known for its agricultural activities and proximity to the capital, Monrovia.
  • D. Grand Bassa County
    Grand Bassa County is one of Liberia’s historic coastal counties, centered around the port city of Buchanan and known for its role in the country’s political and economic life.
  • E. Gbarpolu County
    Gbarpolu County is an administrative region in northwestern Liberia known for its dense forests, mining activities, and predominantly rural communities.
  • 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_69ca8395c438819087d7cb844ab5990c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc668e5c108190b08f9cd6b4fd4a8b completed April 1, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd095a07c81908e164cfa68fb693e completed April 3, 2026, 2:37 p.m.
Created at: March 30, 2026, 6:57 p.m.