Triple
T8660611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Magadi |
E205537
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Magadi |
E205537
|
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: Magadi | Statement: [Lake Magadi, hasNearbySettlement, Magadi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magadi Context triple: [Lake Magadi, hasNearbySettlement, Magadi]
-
A.
Ubari Lakes
Ubari Lakes are a group of picturesque desert lakes and oases set amid the sand dunes of the Sahara in southwestern Libya.
-
B.
Lake Magadi
chosen
Lake Magadi is a shallow, highly saline and alkaline lake in southern Kenya known for its extensive trona deposits and large flocks of flamingos.
-
C.
Wad Medani
Wad Medani is a major city in east-central Sudan and the capital of Al Jazirah state, serving as an important agricultural and commercial hub along the Blue Nile.
-
D.
Ndindi Marsh
Ndindi Marsh is a significant wetland ecosystem located along Malawi’s Shire River, known for its rich biodiversity and role in supporting local fisheries and wildlife.
-
E.
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.
- 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_69ca8350897c819086cde7596fbe5fe7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48701c748190a5f7bd9e2da0e5e9 |
completed | March 31, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ceccfda1dc8190a3b93b1c7e813f33 |
completed | April 2, 2026, 8:09 p.m. |
Created at: March 30, 2026, 6:30 p.m.