Triple
T9438866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kizlyar |
E227590
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Terek River |
E101178
|
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: Terek River | Statement: [Kizlyar, locatedOnRiver, Terek River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terek River Context triple: [Kizlyar, locatedOnRiver, Terek River]
-
A.
Terek River
chosen
The Terek River is a major river in the North Caucasus that flows through Georgia and Russia before emptying into the Caspian Sea.
-
B.
Irtysh River
The Irtysh River is a major river in Central Asia and Western Siberia that flows through China, Kazakhstan, and Russia before joining the Ob River.
-
C.
Taimyr River
The Taimyr River is a remote Arctic river in northern Siberia, Russia, flowing across the Taimyr Peninsula into the Kara Sea.
-
D.
Tuman River
The Tuman River is a border river in Northeast Asia that flows between China, North Korea, and Russia before emptying into the Sea of Japan.
-
E.
Yaik River
The Yaik River is the historical name for the Ural River, a major waterway flowing from the Ural Mountains into the Caspian Sea and marking part of the boundary between Europe and Asia.
- 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_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7ee1c8c48190a2ae8673eee07e9a |
completed | April 1, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d139db9d1081908e2014d6f0e7e925 |
completed | April 4, 2026, 4:18 p.m. |
Created at: March 30, 2026, 7:50 p.m.