Triple

T3229774
Position Surface form Disambiguated ID Type / Status
Subject Berom people E67710 entity
Predicate region P40 FINISHED
Object Jos Plateau E289553 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: Jos Plateau | Statement: [Berom people, region, Jos Plateau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jos Plateau
Context triple: [Berom people, region, Jos Plateau]
  • A. Jos Plateau chosen
    Jos Plateau is a highland region in central Nigeria known for its cool climate, scenic landscapes, and rich mineral resources, especially tin.
  • B. Langres Plateau
    The Langres Plateau is a high limestone upland in northeastern France known as a major watershed that gives rise to several important rivers, including the Seine.
  • C. Montmorency plateau
    The Montmorency plateau is a raised geographic area in the Val-d'Oise department of northern France, known for its suburban communities overlooking the Paris metropolitan region.
  • D. Dransfeld plateau
    The Dransfeld plateau is a hilly upland region in Lower Saxony, Germany, characterized by its forested landscapes and rural settlements.
  • E. Feneos plateau
    The Feneos plateau is a highland plain in the northern Peloponnese of Greece, known for its karstic fields, seasonal lake, and surrounding mountain scenery.
  • 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_69ad858c61888190a31196310d9b30b5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaeb826588190a93bcfb1242310e7 completed March 8, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b262692f28819087bcf0ec4316f5a5 completed March 12, 2026, 6:51 a.m.
Created at: March 8, 2026, 3:08 p.m.