Triple
T13036101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 42 (school) |
E326563
|
entity |
| Predicate | hasCampus |
P116
|
FINISHED |
| Object | 42 Accra |
E68377
|
NE FINISHED |
How this triple was built (2 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: 42 Accra | Statement: [42 (school), hasCampus, 42 Accra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 42 Accra Context triple: [42 (school), hasCampus, 42 Accra]
-
A.
Accra
chosen
Accra is the capital and largest city of Ghana, known as a major economic, political, and cultural hub in West Africa.
-
B.
Osu, Accra
Osu, Accra is a vibrant coastal neighborhood in Ghana’s capital city, known for its lively nightlife, shopping and dining along Oxford Street, and its mix of historic colonial sites and modern urban culture.
-
C.
Owusu Addo
Owusu Addo is a Ghanaian surname borne by various notable individuals, including figures in music, sports, and public life.
-
D.
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.
-
E.
Legon
Legon is a suburban area in Accra, Ghana, best known as the main campus location of the University of Ghana.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbcf11f88190ab1746f973132af1 |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:55 p.m.