Triple
T17295554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chelyabinsk Oblast |
E419900
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Yuzhnouralsk
Yuzhnouralsk is a small industrial city in Russia’s Ural region, known for its energy and manufacturing enterprises.
|
E1327118
|
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: Yuzhnouralsk | Statement: [Chelyabinsk Oblast, hasCity, Yuzhnouralsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuzhnouralsk Context triple: [Chelyabinsk Oblast, hasCity, Yuzhnouralsk]
-
A.
Novokuznetsk
Novokuznetsk is a major industrial city in southwestern Siberia, Russia, known for its large metallurgical and coal-mining industries.
-
B.
Novokuznetskaya
Novokuznetskaya is a Moscow Metro station known for its distinctive Stalinist architecture and richly decorated interiors.
-
C.
Kuznetsk
Kuznetsk is a city in Penza Oblast, Russia, known as an industrial and transport center in the Volga region.
-
D.
Nizhnekamsk
Nizhnekamsk is a major industrial city in Russia known for its large petrochemical and oil refining complexes.
-
E.
Zheleznogorsk-Ilimsky
Zheleznogorsk-Ilimsky is a small industrial town in Russia known for its mining and forestry-related industries.
- 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: Yuzhnouralsk Triple: [Chelyabinsk Oblast, hasCity, Yuzhnouralsk]
Generated description
Yuzhnouralsk is a small industrial city in Russia’s Ural region, known for its energy and manufacturing enterprises.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yuzhnouralsk Target entity description: Yuzhnouralsk is a small industrial city in Russia’s Ural region, known for its energy and manufacturing enterprises.
-
A.
Novokuznetsk
Novokuznetsk is a major industrial city in southwestern Siberia, Russia, known for its large metallurgical and coal-mining industries.
-
B.
Novokuznetskaya
Novokuznetskaya is a Moscow Metro station known for its distinctive Stalinist architecture and richly decorated interiors.
-
C.
Kuznetsk
Kuznetsk is a city in Penza Oblast, Russia, known as an industrial and transport center in the Volga region.
-
D.
Nizhnekamsk
Nizhnekamsk is a major industrial city in Russia known for its large petrochemical and oil refining complexes.
-
E.
Zheleznogorsk-Ilimsky
Zheleznogorsk-Ilimsky is a small industrial town in Russia known for its mining and forestry-related industries.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e437875b208190bcf0df2ded546257 |
completed | April 19, 2026, 2:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a047123a0408190b03850b3a8942e87 |
completed | May 13, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_6a047216091081908e259a5f9d4c8d49 |
completed | May 13, 2026, 12:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0472a5bec08190849a64fc2fce18e8 |
completed | May 13, 2026, 12:46 p.m. |
Created at: April 10, 2026, 5:40 a.m.