Triple
T21485855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verkhneuralsk prison |
E530114
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Verkhneuralsk
Verkhneuralsk is a small town in Chelyabinsk Oblast, Russia, historically known as an administrative center and for its former political prison.
|
E1489847
|
NE FINISHED |
How this triple was built (4 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: Verkhneuralsk | Statement: [Verkhneuralsk prison, locatedIn, Verkhneuralsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Verkhneuralsk Context triple: [Verkhneuralsk prison, locatedIn, Verkhneuralsk]
-
A.
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.
-
B.
Yuzhnouralsk
Yuzhnouralsk is a small industrial city in Russia’s Ural region, known for its energy and manufacturing enterprises.
-
C.
Kuznetsk
Kuznetsk is a city in Penza Oblast, Russia, known as an industrial and transport center in the Volga region.
-
D.
Zheleznogorsk-Ilimsky
Zheleznogorsk-Ilimsky is a small industrial town in Russia known for its mining and forestry-related industries.
-
E.
Khandyga
Khandyga is a small urban-type settlement in the Sakha Republic (Yakutia) in Russia, known as a regional transport hub along the Kolyma Highway in northeastern Siberia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Verkhneuralsk Triple: [Verkhneuralsk prison, locatedIn, Verkhneuralsk]
Generated description
Verkhneuralsk is a small town in Chelyabinsk Oblast, Russia, historically known as an administrative center and for its former political prison.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Verkhneuralsk Target entity description: Verkhneuralsk is a small town in Chelyabinsk Oblast, Russia, historically known as an administrative center and for its former political prison.
-
A.
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.
-
B.
Yuzhnouralsk
Yuzhnouralsk is a small industrial city in Russia’s Ural region, known for its energy and manufacturing enterprises.
-
C.
Kuznetsk
Kuznetsk is a city in Penza Oblast, Russia, known as an industrial and transport center in the Volga region.
-
D.
Zheleznogorsk-Ilimsky
Zheleznogorsk-Ilimsky is a small industrial town in Russia known for its mining and forestry-related industries.
-
E.
Khandyga
Khandyga is a small urban-type settlement in the Sakha Republic (Yakutia) in Russia, known as a regional transport hub along the Kolyma Highway in northeastern Siberia.
- F. None of above. chosen
Provenance (5 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_69e0c45acc3881908e38d3f28964152b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea370adc8190b79fe26e2eba1dca |
completed | April 23, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09eecfd06081908d0bbed7a21e89c1 |
completed | May 17, 2026, 4:37 p.m. |
| NEDg | Description generation | batch_6a09ef8209c48190a5c591f0cc7e601f |
completed | May 17, 2026, 4:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09eff8ee408190a0ed72fe19bfcee2 |
completed | May 17, 2026, 4:42 p.m. |
Created at: April 16, 2026, 6:21 p.m.