Triple
T13013716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angara River |
E322487
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Ust-Ilimsk |
E469639
|
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: Ust-Ilimsk | Statement: [Angara River, flowsThrough, Ust-Ilimsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ust-Ilimsk Context triple: [Angara River, flowsThrough, Ust-Ilimsk]
-
A.
Ust-Ilimsk
chosen
Ust-Ilimsk is a Siberian city in Russia known for its large hydroelectric power station on the Angara River and its role in the region’s timber and energy industries.
-
B.
Vilyuchinsk
Vilyuchinsk is a closed Russian naval town on the Kamchatka Peninsula, known primarily as a base for the Pacific Fleet’s nuclear submarines.
-
C.
Naryan-Mar
Naryan-Mar is a small Arctic port city in northwestern Russia, serving as the administrative and economic center of the Nenets Autonomous Okrug.
-
D.
Nizhnevartovsk
Nizhnevartovsk is a major oil-producing city in western Siberia, Russia, known as one of the centers of the country’s petroleum industry.
-
E.
Angarsk
Angarsk is a major industrial city in southeastern Siberia, Russia, known for its petrochemical and nuclear-related facilities.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ecbb8f4819094d55eb07cb5ad97 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716b885708190b6c38c481fa9ca21 |
completed | May 3, 2026, 9:34 a.m. |
Created at: April 9, 2026, 8:50 p.m.