Triple

T17459516
Position Surface form Disambiguated ID Type / Status
Subject Northwest Region of Cameroon E425115 entity
Predicate hasTown P847 FINISHED
Object Wum NE NERFINISHED

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: Wum | Statement: [Northwest Region of Cameroon, hasTown, Wum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wum
Context triple: [Northwest Region of Cameroon, hasTown, Wum]
  • A. Wum chosen
    Wum is a town in northwestern Cameroon known as the capital of Menchum Division and for its nearby crater lakes and hilly landscape.
  • B. Wamuran
    Wamuran is a rural locality in Queensland, Australia, known for its farming community and position within the Moreton Bay region north of Brisbane.
  • C. Wude
    Wude was the reign era name used by Emperor Gaozu, marking the early foundational period of China’s Tang dynasty (618–626 CE).
  • D. Wolumla
    Wolumla is a small rural village in New South Wales, Australia, situated inland from the Sapphire Coast and known for its farming community and quiet country character.
  • E. Wun Wun
    Wun Wun is a giant allied with Jon Snow in Game of Thrones, known for his immense strength and pivotal role in key battles.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451444e008190944d9668d4d901fa completed April 19, 2026, 3:51 a.m.
Created at: April 10, 2026, 5:47 a.m.