Triple
T6912585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evgeni Nabokov |
E159972
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Ust-Kamenogorsk
Ust-Kamenogorsk is an industrial city in northeastern Kazakhstan, known as a major center for metallurgy and winter sports.
|
E666470
|
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: Ust-Kamenogorsk | Statement: [Evgeni Nabokov, placeOfBirth, Ust-Kamenogorsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ust-Kamenogorsk Context triple: [Evgeni Nabokov, placeOfBirth, Ust-Kamenogorsk]
-
A.
Akmolinsk
Akmolinsk is the former name of Kazakhstan’s capital city, now known as Astana.
-
B.
Surgut
Surgut is a major oil-producing city in western Siberia, Russia, known as an important industrial and transportation hub in the Khanty-Mansi Autonomous Okrug.
-
C.
Gorno-Altaysk
Gorno-Altaysk is the small capital city of Russia’s Altai Republic, serving as a gateway to the mountainous Altai region and nearby natural and cultural heritage sites.
-
D.
Barnaul
Barnaul is a significant industrial and cultural city in southwestern Siberia, Russia, located near the Ob River and serving as a key regional center.
-
E.
Salekhard
Salekhard is a Russian Arctic city located on the Ob River and notable as the only city in the world situated directly on the Arctic Circle.
- 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: Ust-Kamenogorsk Triple: [Evgeni Nabokov, placeOfBirth, Ust-Kamenogorsk]
Generated description
Ust-Kamenogorsk is an industrial city in northeastern Kazakhstan, known as a major center for metallurgy and winter sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ust-Kamenogorsk Target entity description: Ust-Kamenogorsk is an industrial city in northeastern Kazakhstan, known as a major center for metallurgy and winter sports.
-
A.
Akmolinsk
Akmolinsk is the former name of Kazakhstan’s capital city, now known as Astana.
-
B.
Surgut
Surgut is a major oil-producing city in western Siberia, Russia, known as an important industrial and transportation hub in the Khanty-Mansi Autonomous Okrug.
-
C.
Gorno-Altaysk
Gorno-Altaysk is the small capital city of Russia’s Altai Republic, serving as a gateway to the mountainous Altai region and nearby natural and cultural heritage sites.
-
D.
Barnaul
Barnaul is a significant industrial and cultural city in southwestern Siberia, Russia, located near the Ob River and serving as a key regional center.
-
E.
Salekhard
Salekhard is a Russian Arctic city located on the Ob River and notable as the only city in the world situated directly on the Arctic Circle.
- 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_69c68839ccb88190b4aa5cc1aca3448f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9c2e79881909eeb061be0a72bdf |
completed | March 27, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83423e5008190881a7e956c716687 |
completed | March 28, 2026, 8:03 p.m. |
| NEDg | Description generation | batch_69c834b792f081908e9292905e4e0d37 |
completed | March 28, 2026, 8:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c835d2474081908ec1e93c1ced0b1f |
completed | March 28, 2026, 8:10 p.m. |
Created at: March 27, 2026, 2:25 p.m.