Triple

T6436048
Position Surface form Disambiguated ID Type / Status
Subject Far North Region E129896 entity
Predicate containsDepartment P1467 FINISHED
Object Mayo-Tsanaga
Mayo-Tsanaga is an administrative department in northern Cameroon, known for its mountainous terrain and location along the Nigerian border.
 E595842 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: Mayo-Tsanaga | Statement: [Far North Region, containsDepartment, Mayo-Tsanaga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mayo-Tsanaga
Context triple: [Far North Region, containsDepartment, Mayo-Tsanaga]
  • A. Mayo-Kani
    Mayo-Kani is a department-level administrative division located in Cameroon's Far North Region.
  • B. Mayo-Danay
    Mayo-Danay is an administrative department in northern Cameroon known for its predominantly rural communities and proximity to the Chadian border.
  • C. Nitibe
    Nitibe is an administrative post and rural area within the Oecusse exclave of Timor-Leste, known for its coastal and agricultural communities.
  • D. Nyishi
    The Nyishi are one of the major indigenous tribes of northeastern India, known for their distinct language, traditional bamboo and cane craftsmanship, and rich cultural heritage.
  • E. Miantonomo
    Miantonomo was a prominent 17th-century Narragansett sachem known for his leadership in regional conflicts and diplomacy in New England.
  • 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: Mayo-Tsanaga
Triple: [Far North Region, containsDepartment, Mayo-Tsanaga]
Generated description
Mayo-Tsanaga is an administrative department in northern Cameroon, known for its mountainous terrain and location along the Nigerian border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mayo-Tsanaga
Target entity description: Mayo-Tsanaga is an administrative department in northern Cameroon, known for its mountainous terrain and location along the Nigerian border.
  • A. Mayo-Kani
    Mayo-Kani is a department-level administrative division located in Cameroon's Far North Region.
  • B. Mayo-Danay
    Mayo-Danay is an administrative department in northern Cameroon known for its predominantly rural communities and proximity to the Chadian border.
  • C. Nitibe
    Nitibe is an administrative post and rural area within the Oecusse exclave of Timor-Leste, known for its coastal and agricultural communities.
  • D. Nyishi
    The Nyishi are one of the major indigenous tribes of northeastern India, known for their distinct language, traditional bamboo and cane craftsmanship, and rich cultural heritage.
  • E. Miantonomo
    Miantonomo was a prominent 17th-century Narragansett sachem known for his leadership in regional conflicts and diplomacy in New England.
  • 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_69c0084caac48190a7bc2ad8ba44536f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c069622eb881908b40fc8079d312d6 completed March 22, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6538ca31c8190b4a24662c4eeffe9 completed March 27, 2026, 9:53 a.m.
NEDg Description generation batch_69c6542f23548190a0905c0e2c7341f6 completed March 27, 2026, 9:55 a.m.
NED2 Entity disambiguation (via description) batch_69c654918d9881909f3886ec52a7b00b completed March 27, 2026, 9:57 a.m.
Created at: March 22, 2026, 4:45 p.m.