Triple
T22353191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nizhneilimsky District |
E552585
|
entity |
| Predicate | hasUrbanTypeSettlement |
P40854
|
FINISHED |
| Object | Zheleznogorsk-Ilimsky |
—
|
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: Zheleznogorsk-Ilimsky | Statement: [Nizhneilimsky District, hasUrbanTypeSettlement, Zheleznogorsk-Ilimsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zheleznogorsk-Ilimsky Context triple: [Nizhneilimsky District, hasUrbanTypeSettlement, Zheleznogorsk-Ilimsky]
-
A.
Zheleznogorsk-Ilimsky
chosen
Zheleznogorsk-Ilimsky is a small industrial town in Russia known for its mining and forestry-related industries.
-
B.
Nizhneangarsk
Nizhneangarsk is a small urban locality in the Republic of Buryatia, Russia, situated at the northern tip of Lake Baikal and serving as a regional transport and administrative center.
-
C.
Verkhneuralsk
Verkhneuralsk is a small town in Chelyabinsk Oblast, Russia, historically known as an administrative center and for its former political prison.
-
D.
Yuzhnouralsk
Yuzhnouralsk is a small industrial city in Russia’s Ural region, known for its energy and manufacturing enterprises.
-
E.
Kuznetsk
Kuznetsk is a city in Penza Oblast, Russia, known as an industrial and transport center in the Volga region.
- 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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157cd934c8190b9d60805e24ae6a6 |
completed | April 29, 2026, 12:58 a.m. |
Created at: April 16, 2026, 8:44 p.m.