Triple
T8774123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort St. Jago |
E208534
|
entity |
| Predicate | overlooks |
P1323
|
FINISHED |
| Object | Benya Lagoon |
E57158
|
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: Benya Lagoon | Statement: [Fort St. Jago, overlooks, Benya Lagoon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benya Lagoon Context triple: [Fort St. Jago, overlooks, Benya Lagoon]
-
A.
Benya Lagoon
chosen
Benya Lagoon is a coastal lagoon in Elmina, Ghana, known for its fishing activities and proximity to the historic Elmina Castle.
-
B.
Kilange Lagoon
Kilange Lagoon is the central body of sheltered, shallow seawater enclosed by the coral ring of Arno Atoll in the Marshall Islands.
-
C.
Yambo Lake
Yambo Lake is a scenic highland crater lake in Ecuador’s Cotopaxi Province, known for its steep surrounding cliffs and tranquil green waters.
-
D.
Dayet Aoua Lake
Dayet Aoua Lake is a scenic freshwater lake in Morocco’s Middle Atlas region, popular for its natural beauty, birdlife, and outdoor recreation.
-
E.
Aitoliko Lagoon
Aitoliko Lagoon is a coastal lagoon in western Greece known for its shallow brackish waters, rich birdlife, and traditional fishing practices.
- 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_69ca835edb4481909b4aafb616dc5eb7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f2ef3288190988bd69e8a02e741 |
completed | March 31, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf51c760b48190b2138cd2861b2c61 |
completed | April 3, 2026, 5:36 a.m. |
Created at: March 30, 2026, 6:41 p.m.