Triple
T9940014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Armavir |
E194054
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Kuban River |
E57489
|
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: Kuban River | Statement: [Armavir, locatedOnRiver, Kuban River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuban River Context triple: [Armavir, locatedOnRiver, Kuban River]
-
A.
Kuban River
chosen
The Kuban River is a major river in the North Caucasus region of Russia that flows through the Krasnodar Krai before emptying into the Sea of Azov.
-
B.
Kazan River
The Kazan River is a major river in the Republic of Tatarstan, Russia, flowing through the city of Kazan before emptying into the Volga River.
-
C.
Kuban
Kuban is a Turkish surname most notably borne by the prominent architectural historian and scholar Doğan Kuban.
-
D.
Voronezh River
The Voronezh River is a major river in western Russia that flows through the city of Voronezh before joining the Don River.
-
E.
Bobr River
The Bobr River is a tributary watercourse in Belarus that flows through the central part of the country before joining the Berezina 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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb60f4ffc8190bfe916bb4a7bf5c5 |
completed | April 2, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b5d295908190a064fb72d65b6e24 |
completed | April 5, 2026, 7:19 p.m. |
Created at: March 30, 2026, 8:44 p.m.