Triple
T8251993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amhara Region |
E192978
|
entity |
| Predicate | containsLake |
P1025
|
FINISHED |
| Object | Lake Tana |
E39450
|
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: Lake Tana | Statement: [Amhara Region, containsLake, Lake Tana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Tana Context triple: [Amhara Region, containsLake, Lake Tana]
-
A.
Lake Tana
chosen
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.
-
B.
Lake Timsah
Lake Timsah is a saltwater lake in northeastern Egypt that forms part of the Suez Canal route and borders the city of Ismailia.
-
C.
Lake Qarun
Lake Qarun is a saline lake in Egypt’s Faiyum Depression, known for its ancient history, rich biodiversity, and importance as a protected wetland and bird habitat.
-
D.
Lake Turkana
Lake Turkana is a large, saline lake in Kenya’s arid north, renowned for its striking turquoise waters, rich biodiversity, and significant archaeological sites along its shores.
-
E.
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.
- 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_69ca82dfad9c8190b8cd18fb89f50f40 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb78ca4b0881909bb1fb550dba59e7 |
completed | March 31, 2026, 7:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc6b591d081909e1fb450508197f2 |
completed | April 2, 2026, 1:30 a.m. |
Created at: March 30, 2026, 5:48 p.m.