Triple
T1642392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergei Kirov |
E35501
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Urzhum
Urzhum is a small historic town in Kirov Oblast, Russia, known as the birthplace of prominent Soviet leader Sergei Kirov.
|
E197384
|
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: Urzhum | Statement: [Sergei Kirov, placeOfBirth, Urzhum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Urzhum Context triple: [Sergei Kirov, placeOfBirth, Urzhum]
-
A.
Verkhnyaya Troitsa
Verkhnyaya Troitsa is a rural locality in Russia best known as the birthplace of Soviet statesman and longtime nominal head of state Mikhail Kalinin.
-
B.
Kholmogory
Kholmogory is a historic Russian town in the Arkhangelsk region that served as an important early northern trading and administrative center.
-
C.
Ksudach
Ksudach is a large stratovolcano in Russia’s Kamchatka Peninsula known for its caldera-forming eruptions and remote, rugged landscape.
-
D.
Serebryanye Prudy
Serebryanye Prudy is a rural locality in Moscow Oblast, Russia, historically notable as the birthplace of Soviet Marshal Vasily Chuikov.
-
E.
Yenakiieve
Yenakiieve is an industrial city in eastern Ukraine, historically known for its coal mining and metallurgical industries.
- 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: Urzhum Triple: [Sergei Kirov, placeOfBirth, Urzhum]
Generated description
Urzhum is a small historic town in Kirov Oblast, Russia, known as the birthplace of prominent Soviet leader Sergei Kirov.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Urzhum Target entity description: Urzhum is a small historic town in Kirov Oblast, Russia, known as the birthplace of prominent Soviet leader Sergei Kirov.
-
A.
Verkhnyaya Troitsa
Verkhnyaya Troitsa is a rural locality in Russia best known as the birthplace of Soviet statesman and longtime nominal head of state Mikhail Kalinin.
-
B.
Kholmogory
Kholmogory is a historic Russian town in the Arkhangelsk region that served as an important early northern trading and administrative center.
-
C.
Ksudach
Ksudach is a large stratovolcano in Russia’s Kamchatka Peninsula known for its caldera-forming eruptions and remote, rugged landscape.
-
D.
Serebryanye Prudy
Serebryanye Prudy is a rural locality in Moscow Oblast, Russia, historically notable as the birthplace of Soviet Marshal Vasily Chuikov.
-
E.
Yenakiieve
Yenakiieve is an industrial city in eastern Ukraine, historically known for its coal mining and metallurgical industries.
- 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_69a88604618c81908b41f6429c431eb6 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a3e254081908b7c4a9dfeafc4f8 |
completed | March 5, 2026, 4:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0c3111081909bb8e503e77351cf |
completed | March 8, 2026, 4:16 p.m. |
| NEDg | Description generation | batch_69ada4da6a988190847452139e1c210d |
completed | March 8, 2026, 4:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ada55d96b88190a4a5c6973d69592d |
completed | March 8, 2026, 4:35 p.m. |
Created at: March 4, 2026, 7:28 p.m.