Triple

T3258802
Position Surface form Disambiguated ID Type / Status
Subject Berom language E68361 entity
Predicate spokenInLocalGovernmentArea P46920 FINISHED
Object Jos South E337059 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 South | Statement: [Berom language, spokenInLocalGovernmentArea, Jos South]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jos South
Context triple: [Berom language, spokenInLocalGovernmentArea, Jos South]
  • A. Jos South chosen
    Jos South is a local government area in Plateau State, Nigeria, that serves as a key cultural and residential center for the Berom people.
  • B. Jos North
    Jos North is a local government area in Plateau State, Nigeria, known for its ethnic diversity and as part of the Jos metropolitan region.
  • C. Jos East
    Jos East is a local government area in Plateau State, Nigeria, known as one of the areas where the Berom language is traditionally spoken.
  • D. Stephen Rojack
    Stephen Rojack is the psychologically tormented, war-hero-turned-TV-personality at the center of Norman Mailer’s novel "An American Dream," whose violent actions and moral unraveling drive the book’s exploration of guilt, power, and existential crisis.
  • E. Jimmy Ba
    Jimmy Ba is a prominent machine learning researcher known for his work on deep learning optimization methods such as the Adam optimizer.
  • 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_69ad858f74408190bcbd07f967cd7bd0 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adafa4f40c81909adfd0f7f568e3ce completed March 8, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e8369b708190aeddf21dd9440d6a completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:09 p.m.