Triple
T4963089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serengeti National Park |
E111455
|
entity |
| Predicate | majorRiver |
P165
|
FINISHED |
| Object | Mara River |
E376213
|
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: Mara River | Statement: [Serengeti National Park, majorRiver, Mara River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mara River Context triple: [Serengeti National Park, majorRiver, Mara River]
-
A.
Mara River
chosen
The Mara River is a major waterway in East Africa that flows through Kenya and Tanzania, supporting rich wildlife ecosystems and the famed wildebeest migration.
-
B.
Bua River
The Bua River is a major river in Malawi that drains part of the country’s central region before emptying into Lake Malawi.
-
C.
Bandia River
The Bandia River is a lesser-known river in India that serves as a tributary of the Indravati River within the Godavari basin.
-
D.
Ngadda River
The Ngadda River is a waterway in northeastern Nigeria that flows through the city of Maiduguri and contributes to the region’s drainage into Lake Chad.
-
E.
Muchukunda River
Muchukunda River is the historical name of the Musi River, a significant tributary of the Krishna River flowing through Hyderabad in the Indian state of Telangana.
- 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_69bd4419393c819086319a6fe4bf8542 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71f3e6148190b99f35734220ffc3 |
completed | March 20, 2026, 4:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfba1e755081909649e0dd8c4d2270 |
completed | March 22, 2026, 9:45 a.m. |
Created at: March 20, 2026, 1:32 p.m.