Triple
T443714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elmina Castle |
E10169
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Benya Lagoon
Benya Lagoon is a coastal lagoon in Elmina, Ghana, known for its fishing activities and proximity to the historic Elmina Castle.
|
E57158
|
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: Benya Lagoon | Statement: [Elmina Castle, near, Benya Lagoon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benya Lagoon Context triple: [Elmina Castle, near, Benya Lagoon]
-
A.
Jellyfish Lake
Jellyfish Lake is a marine lake in Palau famous for its millions of stingless jellyfish and unique snorkeling experiences.
-
B.
Simly Lake
Simly Lake is a major freshwater reservoir and popular recreational spot located in the Margalla Hills near Islamabad, Pakistan.
-
C.
Bala Lake
Bala Lake is the largest natural lake in Wales, renowned for its scenic surroundings and popularity for boating, fishing, and watersports.
-
D.
Lake Tana
Lake Tana is Ethiopia’s largest lake and the primary source of the Blue Nile, renowned for its island monasteries and ecological importance in the Ethiopian Highlands.
-
E.
Ancylus Lake
Ancylus Lake was a large freshwater body that occupied the Baltic Sea basin after the last Ice Age, before it evolved into the modern brackish Baltic Sea.
- 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: Benya Lagoon Triple: [Elmina Castle, near, Benya Lagoon]
Generated description
Benya Lagoon is a coastal lagoon in Elmina, Ghana, known for its fishing activities and proximity to the historic Elmina Castle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Benya Lagoon Target entity description: Benya Lagoon is a coastal lagoon in Elmina, Ghana, known for its fishing activities and proximity to the historic Elmina Castle.
-
A.
Jellyfish Lake
Jellyfish Lake is a marine lake in Palau famous for its millions of stingless jellyfish and unique snorkeling experiences.
-
B.
Simly Lake
Simly Lake is a major freshwater reservoir and popular recreational spot located in the Margalla Hills near Islamabad, Pakistan.
-
C.
Bala Lake
Bala Lake is the largest natural lake in Wales, renowned for its scenic surroundings and popularity for boating, fishing, and watersports.
-
D.
Lake Tana
Lake Tana is Ethiopia’s largest lake and the primary source of the Blue Nile, renowned for its island monasteries and ecological importance in the Ethiopian Highlands.
-
E.
Ancylus Lake
Ancylus Lake was a large freshwater body that occupied the Baltic Sea basin after the last Ice Age, before it evolved into the modern brackish Baltic Sea.
- 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef43e8f88190a5d368add11a38c0 |
completed | Feb. 28, 2026, 1:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a44cb867388190b768bce1f3f990ac |
completed | March 1, 2026, 2:27 p.m. |
| NEDg | Description generation | batch_69a44d31f0088190b55fd733460d7789 |
completed | March 1, 2026, 2:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a44de3f26881909c9ea34a421ea7cf |
completed | March 1, 2026, 2:32 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.