Triple
T8851327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ga-Adangbe |
E210643
|
entity |
| Predicate | settlementArea |
P82
|
FINISHED |
| Object | Prampram |
E182927
|
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: Prampram | Statement: [Ga-Adangbe, settlementArea, Prampram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prampram Context triple: [Ga-Adangbe, settlementArea, Prampram]
-
A.
Prampram
chosen
Prampram is a coastal town in southern Ghana known for its beaches, fishing community, and growing role as a residential and recreational area near Accra.
-
B.
Bibemi
Bibemi is a town located in the North Region of Cameroon, known as a local administrative and trading center in the area.
-
C.
Sakumono
Sakumono is a coastal suburban community in the Greater Accra Region of Ghana, known for its residential estates and proximity to the Sakumono Lagoon and beach.
-
D.
Prismo
Prismo is a powerful wish-granting cosmic being from Adventure Time who exists outside normal time and space and influences major events across the multiverse.
-
E.
Pompompurin
Pompompurin is a popular Sanrio character, a laid-back golden retriever dog known for his brown beret and love of pudding.
- 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_69ca838a424c8190b1ecac115c2927e7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60c2300c819097b1ca6ebe2f749a |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa08315fc8190b901adfc76348e18 |
completed | April 3, 2026, 11:12 a.m. |
Created at: March 30, 2026, 6:49 p.m.