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.