Triple
T5509602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper West Region |
E144529
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Nandom
Nandom is a town and district capital in Ghana’s Upper West Region, known for its predominantly Dagara population and proximity to the Burkina Faso border.
|
E528356
|
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: Nandom | Statement: [Upper West Region, hasSettlement, Nandom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nandom Context triple: [Upper West Region, hasSettlement, Nandom]
-
A.
Dutsin-Ma
Dutsin-Ma is a town in northern Nigeria known for hosting the Federal University Dutsin-Ma and serving as an important local commercial and educational center.
-
B.
Bhamo
Bhamo is a town in northern Myanmar situated on the Ayeyarwady River, historically important as a trading hub near the Chinese border.
-
C.
Gashua
Gashua is a town in northeastern Nigeria that serves as an important commercial and administrative center in Yobe State.
-
D.
Akwanga
Akwanga is a town and administrative center in central Nigeria known for its role as a commercial and educational hub in Nasarawa State.
-
E.
Sibu
Sibu is a major town in the central region of Sarawak, Malaysia, known as a commercial and transportation hub on the island of Borneo.
- 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: Nandom Triple: [Upper West Region, hasSettlement, Nandom]
Generated description
Nandom is a town and district capital in Ghana’s Upper West Region, known for its predominantly Dagara population and proximity to the Burkina Faso border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nandom Target entity description: Nandom is a town and district capital in Ghana’s Upper West Region, known for its predominantly Dagara population and proximity to the Burkina Faso border.
-
A.
Dutsin-Ma
Dutsin-Ma is a town in northern Nigeria known for hosting the Federal University Dutsin-Ma and serving as an important local commercial and educational center.
-
B.
Bhamo
Bhamo is a town in northern Myanmar situated on the Ayeyarwady River, historically important as a trading hub near the Chinese border.
-
C.
Gashua
Gashua is a town in northeastern Nigeria that serves as an important commercial and administrative center in Yobe State.
-
D.
Akwanga
Akwanga is a town and administrative center in central Nigeria known for its role as a commercial and educational hub in Nasarawa State.
-
E.
Sibu
Sibu is a major town in the central region of Sarawak, Malaysia, known as a commercial and transportation hub on the island of Borneo.
- 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_69c008f6b5048190a09064116062cf69 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f4ba90c8190ad22e5de84c545f9 |
completed | March 22, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027c4b6c0819086c7c64911c7106e |
completed | March 22, 2026, 5:32 p.m. |
| NEDg | Description generation | batch_69c033dc91e08190888fb6e94027fbdb |
completed | March 22, 2026, 6:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c03460b21481908b78aa4bdc989d2c |
completed | March 22, 2026, 6:26 p.m. |
Created at: March 22, 2026, 3:33 p.m.