Triple
T10358896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khmelnytskyi |
E244078
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Proskurov
Proskurov is the former name of the Ukrainian city now known as Khmelnytskyi, a regional center in western Ukraine.
|
E935102
|
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: Proskurov | Statement: [Khmelnytskyi, formerName, Proskurov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Proskurov Context triple: [Khmelnytskyi, formerName, Proskurov]
-
A.
Zbarazh
Zbarazh is a historic town in western Ukraine known for its medieval castle and role in regional political and military history.
-
B.
Pavlohrad
Pavlohrad is an industrial city in central-eastern Ukraine known for its coal mining, chemical industry, and role as a regional transport hub.
-
C.
Chervonohrad
Chervonohrad is a mining and industrial city in western Ukraine known for its coal industry and location in the Lviv Oblast.
-
D.
Zhovkva
Zhovkva is a historic town in western Ukraine known for its well-preserved Renaissance architecture and multicultural heritage.
-
E.
Rivne
Rivne is a city in western Ukraine that serves as an important regional administrative, economic, and cultural center.
- 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: Proskurov Triple: [Khmelnytskyi, formerName, Proskurov]
Generated description
Proskurov 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: Proskurov Target entity description: Proskurov is the former name of the Ukrainian city now known as Khmelnytskyi, a regional center in western Ukraine.
-
A.
Zbarazh
Zbarazh is a historic town in western Ukraine known for its medieval castle and role in regional political and military history.
-
B.
Pavlohrad
Pavlohrad is an industrial city in central-eastern Ukraine known for its coal mining, chemical industry, and role as a regional transport hub.
-
C.
Chervonohrad
Chervonohrad is a mining and industrial city in western Ukraine known for its coal industry and location in the Lviv Oblast.
-
D.
Zhovkva
Zhovkva is a historic town in western Ukraine known for its well-preserved Renaissance architecture and multicultural heritage.
-
E.
Rivne
Rivne is a city in western Ukraine that serves as an important regional administrative, economic, and cultural center.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e95708c481909c8c8cb2a57bf6d6 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e712b2ff1081908ccf311e1133ab72 |
completed | April 21, 2026, 6:01 a.m. |
| NEDg | Description generation | batch_69e720f4015c81909ba7973c3e781985 |
completed | April 21, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e75a7a04c88190bb8f3dd3f3e435ef |
completed | April 21, 2026, 11:07 a.m. |
Created at: April 6, 2026, 11:59 a.m.