Triple
T13304449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belaya River |
E316900
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Sterlitamak |
E890202
|
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: Sterlitamak | Statement: [Belaya River, flowsThrough, Sterlitamak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sterlitamak Context triple: [Belaya River, flowsThrough, Sterlitamak]
-
A.
Sterlitamak
chosen
Sterlitamak is a major industrial city in the Republic of Bashkortostan, Russia, known for its chemical and manufacturing industries.
-
B.
Kurilsk
Kurilsk is a small Russian town on Iturup Island in the Kuril archipelago, serving as an administrative and fishing center in the North Pacific.
-
C.
Sestroretsk
Sestroretsk is a town in northwestern Russia, now part of Saint Petersburg, historically known for its arms factory and seaside resort area on the Gulf of Finland.
-
D.
Degtyarsk
Degtyarsk is a small industrial town in Russia’s Sverdlovsk Oblast, historically known for its mining activities.
-
E.
Kireyevsk
Kireyevsk is a small industrial town in western Russia known for its coal-mining history and location within the Tula region.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990a76adc8190ab9abcdb79a21ca8 |
completed | April 11, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716e161008190a48275ef54225d56 |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:28 p.m.