Triple
T4837090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balaghat |
E108084
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Wainganga River (nearby) |
E50419
|
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: Wainganga River (nearby) | Statement: [Balaghat, hasRiver, Wainganga River (nearby)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wainganga River (nearby) Context triple: [Balaghat, hasRiver, Wainganga River (nearby)]
-
A.
Kirenga River
The Kirenga River is a Siberian waterway in Russia that flows through Irkutsk Oblast before joining the Lena River.
-
B.
Wainganga
chosen
Wainganga is a major river in central India that flows through the states of Madhya Pradesh and Maharashtra before joining other rivers on its way to the Godavari basin.
-
C.
Nyabarongo River
The Nyabarongo River is a major river in Rwanda that forms part of the upper headwaters of the Nile and plays a key role in the region’s hydrology and agriculture.
-
D.
Mamberamo River
The Mamberamo River is one of the largest and most remote river systems in New Guinea, flowing through dense tropical rainforest and often called the "Amazon of Papua" for its size and biodiversity.
-
E.
Mbagathi River
Mbagathi River is a watercourse in Kenya that forms part of the southern boundary of Nairobi National Park and supports its wildlife and ecosystems.
- 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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ce193488190a618250a5681f3ff |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5cc054ac819099d6d3dbf415e710 |
completed | March 21, 2026, 8:54 a.m. |
Created at: March 20, 2026, 1:25 p.m.