Triple
T5954115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Volta |
E132468
|
entity |
| Predicate | hasCityOnShore |
P969
|
FINISHED |
| Object | Ada Foah |
E185936
|
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: Ada Foah | Statement: [Lake Volta, hasCityOnShore, Ada Foah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ada Foah Context triple: [Lake Volta, hasCityOnShore, Ada Foah]
-
A.
Ada Foah
chosen
Ada Foah is a coastal town in southeastern Ghana known for its beaches, estuary scenery, and role as a local fishing and tourism center.
-
B.
Nnamdi Asomugha
Nnamdi Asomugha is a former NFL cornerback, best known for his standout years with the Oakland Raiders and later work as a film producer and actor.
-
C.
Warren Sapp
Warren Sapp is a Hall of Fame former NFL defensive tackle renowned for his dominant play with the Tampa Bay Buccaneers and his role in their Super Bowl XXXVII victory.
-
D.
Dwight Freeney
Dwight Freeney is a former NFL defensive end renowned for his dominant pass-rushing skills, particularly with the Indianapolis Colts, and is considered one of the premier edge rushers of his era.
-
E.
Alan Robinson
Alan Robinson is a co-founder of WET Design, a prominent water feature design firm known for creating iconic fountains and water displays worldwide.
- 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_69c0086b05cc8190a8f36a96927a525c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c039bef5c8819093f280b235a593b0 |
completed | March 22, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3d77fb08190a24d319adc608df5 |
completed | March 23, 2026, 6:55 a.m. |
Created at: March 22, 2026, 4:02 p.m.