Triple
T20718522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arkavati |
E509243
|
entity |
| Predicate | flowsNear |
P350
|
FINISHED |
| Object | Magadi |
—
|
NE NERFINISHED |
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: [Arkavati, flowsNear, Magadi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magadi Context triple: [Arkavati, flowsNear, Magadi]
-
A.
Magadi
Magadi is a historic town in Karnataka, India, known for its temples and as the former capital of the 16th-century ruler Kempegowda.
-
B.
Magadi Soda Lake area
chosen
The Magadi Soda Lake area is a protected region in southern Kenya centered around the highly alkaline Lake Magadi, known for its soda ash deposits, unique saline ecosystems, and diverse birdlife including flamingos.
-
C.
Ubari Lakes
Ubari Lakes are a group of picturesque desert lakes and oases set amid the sand dunes of the Sahara in southwestern Libya.
-
D.
Lake Magadi
Lake Magadi is a shallow, highly saline and alkaline lake in southern Kenya known for its extensive trona deposits and large flocks of flamingos.
-
E.
Turkana
The Turkana are a Nilotic pastoralist ethnic group native to northwestern Kenya, known for their livestock herding, distinctive traditional dress, and resilience in arid environments.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c4cc648190b45fda6e2b20af56 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1d39bec8190b3642b0d6d833375 |
completed | April 21, 2026, 12:16 a.m. |
Created at: April 16, 2026, 12:25 p.m.