Triple
T4891152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tula Oblast |
E109563
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Kireyevsk
Kireyevsk is a small industrial town in western Russia known for its coal-mining history and location within the Tula region.
|
E525256
|
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: Kireyevsk | Statement: [Tula Oblast, hasCity, Kireyevsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kireyevsk Context triple: [Tula Oblast, hasCity, Kireyevsk]
-
A.
Nikolskoye
Nikolskoye is the main and only permanent settlement on Russia’s remote Commander Islands in the Bering Sea.
-
B.
Nikolskoye
Nikolskoye is a town in northwestern Russia known as part of the Saint Petersburg metropolitan area in Leningrad Oblast.
-
C.
Karachayevsk
Karachayevsk is a town in southwestern Russia located in the North Caucasus region, serving as one of the main urban centers of the Karachay-Cherkess Republic.
-
D.
Yuzovka
Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
-
E.
Rizhskaya
Rizhskaya is a Moscow Metro station on the Big Circle Line serving the Rizhsky railway terminal area.
- 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: Kireyevsk Triple: [Tula Oblast, hasCity, Kireyevsk]
Generated description
Kireyevsk is a small industrial town in western Russia known for its coal-mining history and location within the Tula region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kireyevsk Target entity description: Kireyevsk is a small industrial town in western Russia known for its coal-mining history and location within the Tula region.
-
A.
Nikolskoye
Nikolskoye is a town in northwestern Russia known as part of the Saint Petersburg metropolitan area in Leningrad Oblast.
-
B.
Nikolskoye
Nikolskoye is the main and only permanent settlement on Russia’s remote Commander Islands in the Bering Sea.
-
C.
Karachayevsk
Karachayevsk is a town in southwestern Russia located in the North Caucasus region, serving as one of the main urban centers of the Karachay-Cherkess Republic.
-
D.
Yuzovka
Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
-
E.
Rizhskaya
Rizhskaya is a Moscow Metro station on the Big Circle Line serving the Rizhsky railway terminal area.
- 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_69bd440f71348190b99938e59fb7f9a1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e07ca10819083f80f12374544b1 |
completed | March 20, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf88de71b481908ac7b13a3d1538db |
completed | March 22, 2026, 6:14 a.m. |
| NEDg | Description generation | batch_69bf89fd92e08190b408405727cf6a2a |
completed | March 22, 2026, 6:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf8a5aaf888190a77bca9f7d3f63fd |
completed | March 22, 2026, 6:21 a.m. |
Created at: March 20, 2026, 1:28 p.m.