Triple

T7544166
Position Surface form Disambiguated ID Type / Status
Subject Ubangian E178353 entity
Predicate majorLanguage P207 FINISHED
Object Gbaya E468663 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: Gbaya | Statement: [Ubangian, majorLanguage, Gbaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gbaya
Context triple: [Ubangian, majorLanguage, Gbaya]
  • A. Gbaya chosen
    The Gbaya are a Central African ethnic group primarily inhabiting parts of Cameroon, the Central African Republic, and neighboring countries, known for their distinct languages, farming traditions, and rich oral culture.
  • B. Gyabla
    Gyabla is a small Himalayan village in eastern Nepal, known as a stopover settlement on trekking routes in the Kanchenjunga region.
  • C. Gebal
    Gebal is the ancient name of the Phoenician coastal city later known as Byblos, one of the oldest continuously inhabited cities in the world.
  • D. Bisha
    Bisha is a major inland city in southwestern Saudi Arabia known for its agricultural production and strategic location within the Asir region.
  • E. Bagamoyo
    Bagamoyo is a historic coastal town in present-day Tanzania that served as a major 19th-century East African trade and colonial center, including as an early administrative hub for German rule.
  • 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_69c69f2be3888190a6667a27f8f195e9 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f896a27481908b2e120208f268e7 completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f21aa5c819085e8d1ecbd9b01e3 completed March 28, 2026, 9:58 p.m.
Created at: March 27, 2026, 3:48 p.m.