Triple
T18454261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yulia Tymoshenko |
E450862
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Dnipro
Dnipro is a major industrial and cultural city in central-eastern Ukraine, situated on the Dnieper River and known as one of the country’s key economic hubs.
|
E38828
|
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: Dnipro | Statement: [Yulia Tymoshenko, placeOfBirth, Dnipro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dnipro Context triple: [Yulia Tymoshenko, placeOfBirth, Dnipro]
-
A.
Dnipro
Dnipro is one of Ukraine’s largest industrial and cultural centers, located on the Dnieper River in the central-eastern part of the country.
-
B.
Oleksandriia
Oleksandriia is a city in central Ukraine known as an industrial and transport hub within the Kirovohrad region.
-
C.
Kryvyi Rih
Kryvyi Rih is a major industrial city in central Ukraine known for its extensive iron ore mining and steel production.
-
D.
Kremenchuk
Kremenchuk is an industrial city in central Ukraine on the Dnieper River, historically significant as a major transport and strategic hub.
-
E.
Kharkiv
Kharkiv is Ukraine’s second-largest city and a major industrial, cultural, and educational center in the northeast of the country.
- 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: Dnipro Triple: [Yulia Tymoshenko, placeOfBirth, Dnipro]
Generated description
Dnipro is a major industrial and cultural city in central-eastern Ukraine, situated on the Dnieper River and known as one of the country’s key economic hubs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dnipro Target entity description: Dnipro is a major industrial and cultural city in central-eastern Ukraine, situated on the Dnieper River and known as one of the country’s key economic hubs.
-
A.
Dnipro
chosen
Dnipro is one of Ukraine’s largest industrial and cultural centers, located on the Dnieper River in the central-eastern part of the country.
-
B.
Oleksandriia
Oleksandriia is a city in central Ukraine known as an industrial and transport hub within the Kirovohrad region.
-
C.
Kryvyi Rih
Kryvyi Rih is a major industrial city in central Ukraine known for its extensive iron ore mining and steel production.
-
D.
Kremenchuk
Kremenchuk is an industrial city in central Ukraine on the Dnieper River, historically significant as a major transport and strategic hub.
-
E.
Kharkiv
Kharkiv is Ukraine’s second-largest city and a major industrial, cultural, and educational center in the northeast of the country.
- F. None of above.
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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5264b200c8190be2e79ca5ea0b082 |
completed | April 19, 2026, 7 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a040fc5bcac819085d6f513f5db158b |
completed | May 13, 2026, 5:44 a.m. |
| NEDg | Description generation | batch_6a04110811d081909638d9b6e88306cf |
completed | May 13, 2026, 5:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04116c6f14819084db2da960fef77a |
completed | May 13, 2026, 5:51 a.m. |
Created at: April 10, 2026, 11:31 a.m.