Triple
T1698926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Ukraine |
E36723
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Khmelnytskyi
Khmelnytskyi is a regional city in western Ukraine known as an important administrative, economic, and cultural center.
|
E244078
|
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: Khmelnytskyi | Statement: [Western Ukraine, hasPart, Khmelnytskyi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khmelnytskyi Context triple: [Western Ukraine, hasPart, Khmelnytskyi]
-
A.
Kropyvnytskyi
Kropyvnytskyi is a regional city in central Ukraine known as an important administrative, cultural, and transportation center.
-
B.
Zhytomyr
Zhytomyr is a historic city in northwestern Ukraine known as an important regional center and the birthplace of pioneering rocket engineer Sergei Korolev.
-
C.
Ivano-Frankivsk
Ivano-Frankivsk is a historic city in western Ukraine known as a cultural, economic, and administrative center of the Carpathian region.
-
D.
Vinnytsia
Vinnytsia is a major city in central Ukraine known as an important administrative, economic, and cultural center on the Southern Bug River.
-
E.
Ternopil
Ternopil is a city in western Ukraine known as a regional cultural and economic center with a historic old town and a picturesque lakeside setting.
- 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: Khmelnytskyi Triple: [Western Ukraine, hasPart, Khmelnytskyi]
Generated description
Khmelnytskyi is a regional city in western Ukraine known as an important administrative, economic, and cultural center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Khmelnytskyi Target entity description: Khmelnytskyi is a regional city in western Ukraine known as an important administrative, economic, and cultural center.
-
A.
Kropyvnytskyi
Kropyvnytskyi is a regional city in central Ukraine known as an important administrative, cultural, and transportation center.
-
B.
Zhytomyr
Zhytomyr is a historic city in northwestern Ukraine known as an important regional center and the birthplace of pioneering rocket engineer Sergei Korolev.
-
C.
Ivano-Frankivsk
Ivano-Frankivsk is a historic city in western Ukraine known as a cultural, economic, and administrative center of the Carpathian region.
-
D.
Vinnytsia
Vinnytsia is a major city in central Ukraine known as an important administrative, economic, and cultural center on the Southern Bug River.
-
E.
Ternopil
Ternopil is a city in western Ukraine known as a regional cultural and economic center with a historic old town and a picturesque lakeside setting.
- 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_69a886163dec8190859c514232a37a05 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa62d3c57c81908887844e885062e3 |
completed | March 6, 2026, 5:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae651c82588190b9f1461a7e135670 |
completed | March 9, 2026, 6:13 a.m. |
| NEDg | Description generation | batch_69ae65ac14a8819091fa0795c7f99917 |
completed | March 9, 2026, 6:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae66429c208190ae011d7ee001c9ea |
completed | March 9, 2026, 6:18 a.m. |
Created at: March 4, 2026, 7:30 p.m.