Triple
T2581789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volga region |
E57107
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Ulyanovsk
Ulyanovsk is a city in western Russia on the Volga River, best known as the birthplace of Vladimir Lenin and an important regional industrial and cultural center.
|
E398677
|
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: Ulyanovsk | Statement: [Volga region, hasMajorCity, Ulyanovsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ulyanovsk Context triple: [Volga region, hasMajorCity, Ulyanovsk]
-
A.
Ulyanov
Ulyanov is the Russian surname of Vladimir Lenin, the revolutionary leader and founder of the Soviet state.
-
B.
Voronezh
Voronezh is a major city in southwestern Russia, situated on the Voronezh River and serving as an important cultural, industrial, and transportation center.
-
C.
Saratov
Saratov is a major city in southwestern Russia known as an important cultural, educational, and industrial center on the banks of the Volga River.
-
D.
Penza
Penza is a city in western Russia known as a regional cultural and industrial center.
-
E.
Tolyatti
Tolyatti is a major industrial city in Russia on the Volga River, best known as the home of the AvtoVAZ automobile plant that produces Lada cars.
- 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: Ulyanovsk Triple: [Volga region, hasMajorCity, Ulyanovsk]
Generated description
Ulyanovsk is a city in western Russia on the Volga River, best known as the birthplace of Vladimir Lenin and an important regional industrial and cultural center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ulyanovsk Target entity description: Ulyanovsk is a city in western Russia on the Volga River, best known as the birthplace of Vladimir Lenin and an important regional industrial and cultural center.
-
A.
Ulyanov
Ulyanov is the Russian surname of Vladimir Lenin, the revolutionary leader and founder of the Soviet state.
-
B.
Voronezh
Voronezh is a major city in southwestern Russia, situated on the Voronezh River and serving as an important cultural, industrial, and transportation center.
-
C.
Saratov
Saratov is a major city in southwestern Russia known as an important cultural, educational, and industrial center on the banks of the Volga River.
-
D.
Penza
Penza is a city in western Russia known as a regional cultural and industrial center.
-
E.
Tolyatti
Tolyatti is a major industrial city in Russia on the Volga River, best known as the home of the AvtoVAZ automobile plant that produces Lada cars.
- 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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3c843bc8190837cea3441bf3ca1 |
completed | March 7, 2026, 7:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5281079fc8190a69ae43b14407736 |
completed | March 14, 2026, 9:19 a.m. |
| NEDg | Description generation | batch_69b528a32bf08190975c481419c4b164 |
completed | March 14, 2026, 9:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5290622008190885f4b8729a67f14 |
completed | March 14, 2026, 9:23 a.m. |
Created at: March 6, 2026, 9:49 p.m.