Triple

T4802496
Position Surface form Disambiguated ID Type / Status
Subject Adamawa Region E106866 entity
Predicate hasCity P316 FINISHED
Object Banyo
Banyo is a town and commune in the Adamawa Region of Cameroon known as a local administrative and trading center.
E468665 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: Banyo | Statement: [Adamawa Region, hasCity, Banyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banyo
Context triple: [Adamawa Region, hasCity, Banyo]
  • A. Caleruega
    Caleruega is a small town in the province of Burgos, Spain, best known as the birthplace of Saint Dominic, founder of the Dominican Order.
  • B. Santiponce
    Santiponce is a municipality in the province of Seville, Spain, known for encompassing the archaeological site of the ancient Roman city of Italica.
  • C. Belchite
    Belchite is a historic town in northeastern Spain best known for the ruins left by a devastating Spanish Civil War battle, preserved as a memorial to the conflict.
  • D. Santanyí
    Santanyí is a picturesque coastal town in southeastern Mallorca, Spain, known for its traditional stone architecture, weekly markets, and nearby sandy coves.
  • E. Acesines
    Acesines is the ancient Greek name for the Chenab River, a major river of the Punjab region in South Asia.
  • 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: Banyo
Triple: [Adamawa Region, hasCity, Banyo]
Generated description
Banyo is a town and commune in the Adamawa Region of Cameroon known as a local administrative and trading center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Banyo
Target entity description: Banyo is a town and commune in the Adamawa Region of Cameroon known as a local administrative and trading center.
  • A. Caleruega
    Caleruega is a small town in the province of Burgos, Spain, best known as the birthplace of Saint Dominic, founder of the Dominican Order.
  • B. Santiponce
    Santiponce is a municipality in the province of Seville, Spain, known for encompassing the archaeological site of the ancient Roman city of Italica.
  • C. Belchite
    Belchite is a historic town in northeastern Spain best known for the ruins left by a devastating Spanish Civil War battle, preserved as a memorial to the conflict.
  • D. Santanyí
    Santanyí is a picturesque coastal town in southeastern Mallorca, Spain, known for its traditional stone architecture, weekly markets, and nearby sandy coves.
  • E. Acesines
    Acesines is the ancient Greek name for the Chenab River, a major river of the Punjab region in South Asia.
  • 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_69bd43f6a1e08190bf0a372bfc336ee5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c42113081908824f3608e65cbff completed March 20, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4400103c8190a5417fe75fb50f81 completed March 21, 2026, 7:08 a.m.
NEDg Description generation batch_69be44a60c2c8190b47efae80379b21e completed March 21, 2026, 7:11 a.m.
NED2 Entity disambiguation (via description) batch_69be4530fe5c8190aa976151cdd5bc7a completed March 21, 2026, 7:13 a.m.
Created at: March 20, 2026, 1:23 p.m.