Triple
T12833036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sayan Mountains |
E306834
|
entity |
| Predicate | drainedBy |
P165
|
FINISHED |
| Object | Abakan River |
E407593
|
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: Abakan River | Statement: [Sayan Mountains, drainedBy, Abakan River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abakan River Context triple: [Sayan Mountains, drainedBy, Abakan River]
-
A.
Abakan River
chosen
The Abakan River is a significant river in southern Siberia, Russia, flowing through the Republic of Khakassia and known for its role in regional transport, fishing, and hydropower.
-
B.
Azat River
The Azat River is a notable river in central Armenia that flows through scenic gorges and supports nearby communities and agriculture.
-
C.
Ugra River
The Ugra River is a historically significant river in western Russia, known as the site of the 1480 "Great Stand on the Ugra River" that marked the end of Mongol-Tatar dominance over Moscow.
-
D.
Byk River
The Byk River is a tributary watercourse in Eastern Europe that flows through Moldova before joining the Dniester River.
-
E.
Lena River
The Lena River is one of the longest rivers in the world, flowing through Siberia in northeastern Russia to the Arctic Ocean.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96fb0bb208190bdc4d3dc7909be06 |
completed | April 10, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3cf863fc81908723f7f6b3d45510 |
completed | May 8, 2026, 1:31 a.m. |
Created at: April 9, 2026, 5:34 p.m.