Triple
T11707616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Nassau |
E278287
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Moree, Ghana
Moree, Ghana is a coastal town in the Central Region known historically as a trading and colonial outpost along the Gulf of Guinea.
|
E942539
|
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: Moree, Ghana | Statement: [Fort Nassau, locatedIn, Moree, Ghana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moree, Ghana Context triple: [Fort Nassau, locatedIn, Moree, Ghana]
-
A.
Winneba, Ghana
Winneba, Ghana is a coastal town in the Central Region of Ghana known for its fishing industry, Aboakyer festival, and the University of Education, Winneba.
-
B.
Dangme
Dangme is a Kwa language spoken primarily by the Dangme people in southeastern Ghana.
-
C.
Mampong
Mampong is a prominent town and municipal center in Ghana known for its historical significance within the Ashanti cultural area and its role as an educational and agricultural hub.
-
D.
Obuasi
Obuasi is a major Ghanaian mining town renowned for its large gold deposits and historic gold mine.
-
E.
Odukpani
Odukpani is a local government area in southeastern Nigeria known for its diverse ethnic communities and proximity to the state capital, Calabar, in Cross River State.
- 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: Moree, Ghana Triple: [Fort Nassau, locatedIn, Moree, Ghana]
Generated description
Moree, Ghana is a coastal town in the Central Region known historically as a trading and colonial outpost along the Gulf of Guinea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Moree, Ghana Target entity description: Moree, Ghana is a coastal town in the Central Region known historically as a trading and colonial outpost along the Gulf of Guinea.
-
A.
Winneba, Ghana
Winneba, Ghana is a coastal town in the Central Region of Ghana known for its fishing industry, Aboakyer festival, and the University of Education, Winneba.
-
B.
Dangme
Dangme is a Kwa language spoken primarily by the Dangme people in southeastern Ghana.
-
C.
Mampong
Mampong is a prominent town and municipal center in Ghana known for its historical significance within the Ashanti cultural area and its role as an educational and agricultural hub.
-
D.
Obuasi
Obuasi is a major Ghanaian mining town renowned for its large gold deposits and historic gold mine.
-
E.
Odukpani
Odukpani is a local government area in southeastern Nigeria known for its diverse ethnic communities and proximity to the state capital, Calabar, in Cross River State.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a49de0388190a063739426bf90e8 |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef836388bc8190827ce4af609d8b61 |
completed | April 27, 2026, 3:40 p.m. |
| NEDg | Description generation | batch_69ef96b0169081909ad5c5d40a006e64 |
completed | April 27, 2026, 5:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69efb4dad6a481909a54511b6233993b |
completed | April 27, 2026, 7:11 p.m. |
Created at: April 8, 2026, 9:40 p.m.