Triple
T10128878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karachayevsk |
E226283
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Teberda River |
E329363
|
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: Teberda River | Statement: [Karachayevsk, locatedOnRiver, Teberda River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teberda River Context triple: [Karachayevsk, locatedOnRiver, Teberda River]
-
A.
Teberda River
chosen
The Teberda River is a mountain river in the North Caucasus region of Russia that flows through the Teberda Nature Reserve before joining the Kuban River.
-
B.
Selemdzha River
The Selemdzha River is a significant river in Russia’s Amur Oblast, known for its remote taiga landscapes and role in the regional hydrological system.
-
C.
Bega River
The Bega River is a waterway in southeastern New South Wales, Australia, that flows through the town of Bega before reaching the Tasman Sea.
-
D.
Sajna River
The Sajna River is a small river in northern Poland that flows through the town of Reszel in the Warmian-Masurian region.
-
E.
Hrazdan River
The Hrazdan River is a significant waterway in Armenia that flows from Lake Sevan through the capital city of Yerevan before joining the Aras 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_69ca843057b48190a86730167f5d6b98 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd333186c819088bbf617967f24fa |
completed | April 2, 2026, 2:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4963545f481909ecc360480b1fc37 |
completed | April 19, 2026, 8:45 a.m. |
Created at: March 30, 2026, 9:05 p.m.