Triple
T1739998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tadjourah Region |
E38211
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Lake Assal |
E6115
|
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 Assal | Statement: [Tadjourah Region, contains, Lake Assal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Assal Context triple: [Tadjourah Region, contains, Lake Assal]
-
A.
Lake Assal
chosen
Lake Assal is a hypersaline crater lake in Djibouti renowned as the lowest point on the African continent and one of the saltiest bodies of water in the world.
-
B.
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.
-
C.
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.
-
D.
Dead Sea
The Dead Sea is a hypersaline lake in the Jordan Rift Valley, renowned as one of the world's saltiest bodies of water and Earth's lowest land elevation point.
-
E.
Lake Zug
Lake Zug is a picturesque glacial lake in central Switzerland, known for its scenic alpine surroundings, mild climate, and lakeside towns such as Zug and Arth.
- 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63c4639c81908b91b2559f0c6a5c |
completed | March 6, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8b060d64819096ba0522ccce9145 |
completed | March 8, 2026, 2:43 p.m. |
Created at: March 4, 2026, 7:30 p.m.