Triple
T11182564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Kazakhstan |
E264576
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Shakhtinsk
Shakhtinsk is an industrial town in central Kazakhstan known primarily for its coal mining activities.
|
E910150
|
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: Shakhtinsk | Statement: [Central Kazakhstan, hasMajorCity, Shakhtinsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shakhtinsk Context triple: [Central Kazakhstan, hasMajorCity, Shakhtinsk]
-
A.
Kamyshlov
Kamyshlov is a small historic town in Russia’s Ural region, known for its traditional wooden architecture and role as a local administrative and cultural center.
-
B.
Votkinsk
Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
-
C.
Kamyensk-Shakhtinsky
Kamyensk-Shakhtinsky is a city in southwestern Russia known as an industrial and transport center within Rostov Oblast.
-
D.
Chapaevsk
Chapaevsk is an industrial city in southwestern Russia known for its chemical industry and location within Samara Oblast along the Volga River region.
-
E.
Zaraysk
Zaraysk is a historic town in Moscow Oblast, Russia, known for its well-preserved medieval kremlin and role as a former regional administrative center.
- 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: Shakhtinsk Triple: [Central Kazakhstan, hasMajorCity, Shakhtinsk]
Generated description
Shakhtinsk is an industrial town in central Kazakhstan known primarily for its coal mining activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shakhtinsk Target entity description: Shakhtinsk is an industrial town in central Kazakhstan known primarily for its coal mining activities.
-
A.
Kamyshlov
Kamyshlov is a small historic town in Russia’s Ural region, known for its traditional wooden architecture and role as a local administrative and cultural center.
-
B.
Votkinsk
Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
-
C.
Kamyensk-Shakhtinsky
Kamyensk-Shakhtinsky is a city in southwestern Russia known as an industrial and transport center within Rostov Oblast.
-
D.
Chapaevsk
Chapaevsk is an industrial city in southwestern Russia known for its chemical industry and location within Samara Oblast along the Volga River region.
-
E.
Zaraysk
Zaraysk is a historic town in Moscow Oblast, Russia, known for its well-preserved medieval kremlin and role as a former regional administrative center.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8a9c5e081908c85b41a268428fb |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e483c1b4f88190b7c38b254d37c7fb |
completed | April 19, 2026, 7:26 a.m. |
| NEDg | Description generation | batch_69e48717c35481908fb05597084167e7 |
completed | April 19, 2026, 7:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e48875faa88190af33654e6d9a708b |
completed | April 19, 2026, 7:47 a.m. |
Created at: April 8, 2026, 9:29 p.m.