Triple
T4016358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexander Rutskoy |
E90770
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Proskuriv
Proskuriv is the former name of the Ukrainian city now known as Khmelnytskyi, a regional center in western Ukraine.
|
E405807
|
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: Proskuriv | Statement: [Alexander Rutskoy, placeOfBirth, Proskuriv]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Proskuriv Context triple: [Alexander Rutskoy, placeOfBirth, Proskuriv]
-
A.
Prokhladny
Prokhladny is a town in the Kabardino-Balkar Republic of Russia, known as an agricultural and transport center in the North Caucasus region.
-
B.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
C.
Potiskum
Potiskum is a major commercial and population center in northeastern Nigeria, known especially for its bustling markets and strategic location in Yobe State.
-
D.
Šurany
Šurany is a small town in southwestern Slovakia known for its agricultural surroundings and historical roots in the Nitra region.
-
E.
Krakolye
Krakolye is a historic village in northwestern Russia known as one of the traditional settlement areas of the Votic people and their endangered Uralic language.
- 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: Proskuriv Triple: [Alexander Rutskoy, placeOfBirth, Proskuriv]
Generated description
Proskuriv is the former name of the Ukrainian city now known as Khmelnytskyi, a regional center in western Ukraine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Proskuriv Target entity description: Proskuriv is the former name of the Ukrainian city now known as Khmelnytskyi, a regional center in western Ukraine.
-
A.
Prokhladny
Prokhladny is a town in the Kabardino-Balkar Republic of Russia, known as an agricultural and transport center in the North Caucasus region.
-
B.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
C.
Potiskum
Potiskum is a major commercial and population center in northeastern Nigeria, known especially for its bustling markets and strategic location in Yobe State.
-
D.
Šurany
Šurany is a small town in southwestern Slovakia known for its agricultural surroundings and historical roots in the Nitra region.
-
E.
Krakolye
Krakolye is a historic village in northwestern Russia known as one of the traditional settlement areas of the Votic people and their endangered Uralic language.
- 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_69aed95e44088190aff7d90a151b1b20 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaa7352481908232534c89a698e7 |
completed | March 9, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c768e5481908b184332e3c73588 |
completed | March 14, 2026, 11:54 a.m. |
| NEDg | Description generation | batch_69b54d06c7c881908b30ba813c009d25 |
completed | March 14, 2026, 11:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b54d739e588190b23c06b10b4f540e |
completed | March 14, 2026, 11:58 a.m. |
Created at: March 9, 2026, 3:35 p.m.