Triple

T22827122
Position Surface form Disambiguated ID Type / Status
Subject Haut-Nkam E565689 entity
Predicate hasSettlement P1068 FINISHED
Object Bana
Bana is a town and commune located in the Haut-Nkam department of western Cameroon.
 E1556956 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: Bana | Statement: [Haut-Nkam, hasSettlement, Bana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bana
Context triple: [Haut-Nkam, hasSettlement, Bana]
  • A. Bani
    Bani was a daughter of the prominent Indian freedom fighter and lawyer Chittaranjan (C. R.) Das.
  • B. Bani
    Bani is a coastal municipality in the province of Pangasinan in the Philippines, known for its beaches, agricultural produce, and scenic rural landscapes.
  • C. Banna
    Banna is an Omotic language spoken by the Banna people of southwestern Ethiopia, closely related to other languages of the region.
  • D. Banna
    Banna is the Latin name of Birdoswald Roman Fort, a key military site along Hadrian’s Wall in Roman Britain.
  • E. Bhunu
    Bhunu was a king of Swaziland (now Eswatini) from the royal House of Dlamini, known for his brief and turbulent reign in the late 19th and early 20th centuries.
  • 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: Bana
Triple: [Haut-Nkam, hasSettlement, Bana]
Generated description
Bana is a town and commune located in the Haut-Nkam department of western Cameroon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bana
Target entity description: Bana is a town and commune located in the Haut-Nkam department of western Cameroon.
  • A. Bani
    Bani was a daughter of the prominent Indian freedom fighter and lawyer Chittaranjan (C. R.) Das.
  • B. Bani
    Bani is a coastal municipality in the province of Pangasinan in the Philippines, known for its beaches, agricultural produce, and scenic rural landscapes.
  • C. Banna
    Banna is an Omotic language spoken by the Banna people of southwestern Ethiopia, closely related to other languages of the region.
  • D. Banna
    Banna is the Latin name of Birdoswald Roman Fort, a key military site along Hadrian’s Wall in Roman Britain.
  • E. Bhunu
    Bhunu was a king of Swaziland (now Eswatini) from the royal House of Dlamini, known for his brief and turbulent reign in the late 19th and early 20th centuries.
  • 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_69e24585ab1c81909b2b5065d15805d5 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e2832b8819091c1dfd2cd598b90 completed April 29, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ba7a9fe148190906e142762462634 completed May 18, 2026, 11:58 p.m.
NEDg Description generation batch_6a0ba84676f8819099e4ad46797387d9 completed May 19, 2026, 12:01 a.m.
NED2 Entity disambiguation (via description) batch_6a0ba8fa53a88190a0029d884308ffd6 completed May 19, 2026, 12:04 a.m.
Created at: April 17, 2026, 3:34 p.m.