Triple

T16567850
Position Surface form Disambiguated ID Type / Status
Subject Mofu-Gudur E402507 entity
Predicate hasNeighboringLanguage P16383 FINISHED
Object Mofu-Sud
Mofu-Sud is a Chadic language spoken by the Mofu people in northern Cameroon.
E1221462 NE FINISHED

How this triple was built (4 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: Mofu-Sud | Statement: [Mofu-Gudur, hasNeighboringLanguage, Mofu-Sud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mofu-Sud
Context triple: [Mofu-Gudur, hasNeighboringLanguage, Mofu-Sud]
  • A. Mofu-Gudur
    Mofu-Gudur is a Central Chadic language spoken primarily by the Mofu-Gudur people in northern Cameroon.
  • B. Momote
    Momote is a small settlement in Papua New Guinea best known for its nearby Momote Airport on Los Negros Island in Manus Province.
  • C. Hofu
    Hofu is a coastal city in western Honshu, Japan, known for its historic Hofu Tenmangu Shrine and industrial manufacturing base.
  • D. Den-en-chōfu
    Den-en-chōfu is an upscale residential neighborhood in Tokyo known for its garden-city design, tree-lined streets, and low-rise, affluent housing.
  • E. Mokk
    Mokk was a historical province or district in the region of Greater Armenia, located adjacent to Vaspurakan.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mofu-Sud
Triple: [Mofu-Gudur, hasNeighboringLanguage, Mofu-Sud]
Generated description
Mofu-Sud is a Chadic language spoken by the Mofu people in northern Cameroon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mofu-Sud
Target entity description: Mofu-Sud is a Chadic language spoken by the Mofu people in northern Cameroon.
  • A. Mofu-Gudur
    Mofu-Gudur is a Central Chadic language spoken primarily by the Mofu-Gudur people in northern Cameroon.
  • B. Momote
    Momote is a small settlement in Papua New Guinea best known for its nearby Momote Airport on Los Negros Island in Manus Province.
  • C. Hofu
    Hofu is a coastal city in western Honshu, Japan, known for its historic Hofu Tenmangu Shrine and industrial manufacturing base.
  • D. Den-en-chōfu
    Den-en-chōfu is an upscale residential neighborhood in Tokyo known for its garden-city design, tree-lined streets, and low-rise, affluent housing.
  • E. Mokk
    Mokk was a historical province or district in the region of Greater Armenia, located adjacent to Vaspurakan.
  • F. None of above. chosen

Provenance (5 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35772f6608190a125c7d3c199c3e2 completed April 18, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ee3dcbc819087ea66b262585232 completed May 10, 2026, 11:41 a.m.
NEDg Description generation batch_6a006ff5bdb88190be90d7446e24b61f completed May 10, 2026, 11:45 a.m.
NED2 Entity disambiguation (via description) batch_6a007088fd988190b3dfef081769d03e completed May 10, 2026, 11:48 a.m.
Created at: April 10, 2026, 5:16 a.m.