Triple

T8933158
Position Surface form Disambiguated ID Type / Status
Subject Krahn people E212705 entity
Predicate demographicsRegion P2263 FINISHED
Object Grand Gedeh County E212700 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: Grand Gedeh County | Statement: [Krahn people, demographicsRegion, Grand Gedeh County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grand Gedeh County
Context triple: [Krahn people, demographicsRegion, Grand Gedeh County]
  • A. Grand Gedeh County chosen
    Grand Gedeh County is an eastern county of Liberia that was a significant stronghold and battleground during the First Liberian Civil War.
  • B. Nimba County
    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.
  • C. Gbarpolu County
    Gbarpolu County is an administrative region in northwestern Liberia known for its dense forests, mining activities, and predominantly rural communities.
  • D. 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.
  • E. Kapisa Province
    Kapisa Province is a small, strategically located province in northeastern Afghanistan known for its mountainous terrain and proximity to Kabul.
  • 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_69cc668fa87c8190bfeda820368b89e4 completed April 1, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1d965cc8190bad0a990df318698 completed April 3, 2026, 1:34 p.m.
Created at: March 30, 2026, 6:57 p.m.