Triple
T21387037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yug River |
E527529
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Luzha River |
—
|
NE NERFINISHED |
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: Luzha River | Statement: [Yug River, hasTributary, Luzha River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luzha River Context triple: [Yug River, hasTributary, Luzha River]
-
A.
Luzha River
chosen
The Luzha River is a watercourse in Russia that flows through the Mozhaysky District of Moscow Oblast, contributing to the region’s local hydrology and landscape.
-
B.
Chagan River
The Chagan River is a smaller watercourse in Russia and Kazakhstan that feeds into the Ural River within the Ural basin.
-
C.
Argun River
The Argun River is a major river in Northeast Asia that forms part of the border between Russia and China and serves as one of the headwaters of the Amur River.
-
D.
Chuya River
The Chuya River is a major mountain river in Russia’s Altai Republic, known for its scenic valley, challenging whitewater rapids, and role as a key tributary in the Altai river system.
-
E.
Bulgan River
The Bulgan River is a river in western Mongolia that flows through remote, sparsely populated steppe and mountain landscapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51ff3748190935c0a513c62a12b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee62cb05288190a894f33850e22c03 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 16, 2026, 5:12 p.m.