Triple
T7797516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buotama River |
E180336
|
entity |
| Predicate | mouth |
P407
|
FINISHED |
| Object | Lena River |
E17170
|
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: Lena River | Statement: [Buotama River, mouth, Lena River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lena River Context triple: [Buotama River, mouth, Lena River]
-
A.
Lena River
chosen
The Lena River is one of the longest rivers in the world, flowing through Siberia in northeastern Russia to the Arctic Ocean.
-
B.
Velikaya River
The Velikaya River is a major waterway in northwestern Russia that flows through Pskov Oblast into Lake Peipus, historically serving as an important trade and strategic route.
-
C.
Bolshaya Urta River
The Bolshaya Urta River is a smaller watercourse in Russia that serves as one of the tributaries feeding into the Samara River system.
-
D.
Angara River
The Angara River is a major river in Siberia that flows northward from Lake Baikal through Irkutsk Oblast before joining the Yenisei River.
-
E.
Abakan River
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.
- 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_69ca827d22208190b4dc5aa680edcf5d |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cae982c3b48190a35afe655fb20d55 |
completed | March 30, 2026, 9:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc55d5650c8190862d89d1dcc488b4 |
completed | March 31, 2026, 11:16 p.m. |
Created at: March 30, 2026, 4:32 p.m.