Triple
T473762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Racha-Lechkhumi |
E9014
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Rioni River |
E80336
|
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: Rioni River | Statement: [Racha-Lechkhumi, hasRiver, Rioni River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rioni River Context triple: [Racha-Lechkhumi, hasRiver, Rioni River]
-
A.
Rioni River
chosen
The Rioni River is a major waterway in western Georgia that flows from the Caucasus Mountains to the Black Sea, historically serving as an important trade and cultural route.
-
B.
Yodo River
The Yodo River is a major waterway in Japan’s Kansai region that flows through Kyoto and Osaka, historically serving as an important route for transport, trade, and urban development.
-
C.
Tone River
Tone River is one of Japan’s largest and most important rivers, flowing through the Kanto region of Honshu and playing a key role in irrigation, flood control, and water supply.
-
D.
Kiso River
The Kiso River is a major river in central Japan known for flowing through the Kiso Valley and contributing to the Nōbi Plain’s fertile landscape.
-
E.
Hiran River
The Hiran River is a significant river in central India that flows through Madhya Pradesh and Gujarat, supporting local ecosystems and communities before joining the Narmada River.
- 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f0208c788190a96cdabcf593fda7 |
completed | Feb. 28, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a79277143c819091019a9ca625039f |
completed | March 4, 2026, 2:01 a.m. |
Created at: Feb. 28, 2026, 1:12 p.m.