Triple
T7879568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ga Mashie |
E182942
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Usshertown
Usshertown is a historic coastal neighborhood within Accra’s old Ga Mashie district, known for its Ga heritage and colonial-era architecture.
|
E701152
|
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: Usshertown | Statement: [Ga Mashie, contains, Usshertown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Usshertown Context triple: [Ga Mashie, contains, Usshertown]
-
A.
Shingletown
Shingletown is a small rural community in Northern California known for its forested setting near Lassen Volcanic National Park.
-
B.
Snowville
Snowville is a small rural settlement located within the township of Tehkummah in Ontario, Canada.
-
C.
Rosettenville
Rosettenville is a residential suburb in the south of Johannesburg, South Africa, known for its diverse community and historical religious and educational institutions.
-
D.
Mapleton
Mapleton is a rural township municipality in Wellington County, Ontario, known for its agricultural landscape and small communities.
-
E.
Mapleton
Mapleton is a locality adjacent to Gravesend, likely a residential neighborhood or area within the same broader region.
- 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: Usshertown Triple: [Ga Mashie, contains, Usshertown]
Generated description
Usshertown is a historic coastal neighborhood within Accra’s old Ga Mashie district, known for its Ga heritage and colonial-era architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Usshertown Target entity description: Usshertown is a historic coastal neighborhood within Accra’s old Ga Mashie district, known for its Ga heritage and colonial-era architecture.
-
A.
Shingletown
Shingletown is a small rural community in Northern California known for its forested setting near Lassen Volcanic National Park.
-
B.
Snowville
Snowville is a small rural settlement located within the township of Tehkummah in Ontario, Canada.
-
C.
Rosettenville
Rosettenville is a residential suburb in the south of Johannesburg, South Africa, known for its diverse community and historical religious and educational institutions.
-
D.
Mapleton
Mapleton is a rural township municipality in Wellington County, Ontario, known for its agricultural landscape and small communities.
-
E.
Mapleton
Mapleton is a locality adjacent to Gravesend, likely a residential neighborhood or area within the same broader region.
- 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_69ca828a17248190b46defe758bc5ad3 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39be7ab88190affcd353a0cd37fa |
completed | March 31, 2026, 3:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b86c20081909aa029cda7c48d44 |
completed | March 31, 2026, 5:28 a.m. |
| NEDg | Description generation | batch_69cb7631d10881908e3c7dacb98520cd |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbbf847f3c819092d690d8d65f6d60 |
completed | March 31, 2026, 12:35 p.m. |
Created at: March 30, 2026, 4:57 p.m.