Triple
T11207254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lipetsk Oblast |
E265202
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Yelets |
E768302
|
NE FINISHED |
How this triple was built (2 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: Yelets | Statement: [Lipetsk Oblast, hasMajorCity, Yelets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yelets Context triple: [Lipetsk Oblast, hasMajorCity, Yelets]
-
A.
Yelets
chosen
Yelets is a historic city in western Russia known for its medieval origins, traditional lace-making, and role as a regional cultural and economic center.
-
B.
Yalutorovsk
Yalutorovsk is a historic town in western Siberia, Russia, known for its 17th-century origins as a fortress settlement and its location on the Tobol River.
-
C.
Pervouralsk
Pervouralsk is an industrial city in Russia’s Ural region, known for its metallurgical plants and location near the geographic border between Europe and Asia.
-
D.
Uglich
Uglich is a historic Russian town on the Volga River, known for its medieval architecture and its association with the mysterious death of Tsarevich Dmitry in 1591.
-
E.
Shadrinsk
Shadrinsk is a town in Kurgan Oblast, Russia, known as an industrial and cultural center in the southern Ural region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8d4eef88190a7f05bca82d919b9 |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4973a1b288190bacdf56f8d4977bd |
completed | April 19, 2026, 8:50 a.m. |
Created at: April 8, 2026, 9:30 p.m.