Triple
T4891130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tula Oblast |
E109563
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Novomoskovsk
Novomoskovsk is a significant industrial city in Russia known for its chemical industry and role as a major urban center in Tula Oblast.
|
E487615
|
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: Novomoskovsk | Statement: [Tula Oblast, hasMajorCity, Novomoskovsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Novomoskovsk Context triple: [Tula Oblast, hasMajorCity, Novomoskovsk]
-
A.
Novomoskovsk
Novomoskovsk is a town in central Ukraine, historically part of the Yekaterinoslav region, known for its industrial activity and location along the Samara River.
-
B.
Pereiaslavl
Pereiaslavl was one of the principal urban centers of Kyivan Rus, serving as an important political, military, and cultural hub in medieval Eastern Europe.
-
C.
Ivangorod
Ivangorod is a Russian border town on the Narva River, known for its medieval fortress facing the Estonian city of Narva.
-
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.
Noginsk
Noginsk is a town in western Russia that serves as an industrial and transport center east of Moscow.
- 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: Novomoskovsk Triple: [Tula Oblast, hasMajorCity, Novomoskovsk]
Generated description
Novomoskovsk is a significant industrial city in Russia known for its chemical industry and role as a major urban center in Tula Oblast.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Novomoskovsk Target entity description: Novomoskovsk is a significant industrial city in Russia known for its chemical industry and role as a major urban center in Tula Oblast.
-
A.
Novomoskovsk
Novomoskovsk is a town in central Ukraine, historically part of the Yekaterinoslav region, known for its industrial activity and location along the Samara River.
-
B.
Pereiaslavl
Pereiaslavl was one of the principal urban centers of Kyivan Rus, serving as an important political, military, and cultural hub in medieval Eastern Europe.
-
C.
Ivangorod
Ivangorod is a Russian border town on the Narva River, known for its medieval fortress facing the Estonian city of Narva.
-
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.
Noginsk
Noginsk is a town in western Russia that serves as an industrial and transport center east of Moscow.
- 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_69be9c41d21c81908cfbe658c65cca6f |
completed | March 21, 2026, 1:25 p.m. |
| NEDg | Description generation | batch_69be9cdb00d88190832363821612ee1f |
completed | March 21, 2026, 1:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be9d7e00f88190b2d12e872fadc181 |
completed | March 21, 2026, 1:30 p.m. |
Created at: March 20, 2026, 1:28 p.m.