Triple
T20570135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khmelnytskyi National University |
E505072
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Khmelnytskyi |
E244078
|
NE FINISHED |
How this triple was built (2 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: [Khmelnytskyi National University, city, Khmelnytskyi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khmelnytskyi Context triple: [Khmelnytskyi National University, city, Khmelnytskyi]
-
A.
Khmelnytskyi
chosen
Khmelnytskyi is a regional city in western Ukraine known as an important administrative, economic, and cultural center.
-
B.
Kropyvnytskyi
Kropyvnytskyi is a regional city in central Ukraine known as an important administrative, cultural, and transportation center.
-
C.
Zhytomyr
Zhytomyr is a historic city in northwestern Ukraine known as an important regional center and the birthplace of pioneering rocket engineer Sergei Korolev.
-
D.
Ivano-Frankivsk
Ivano-Frankivsk is a historic city in western Ukraine known as a cultural, economic, and administrative center of the Carpathian region.
-
E.
Vinnytsia
Vinnytsia is a major city in central Ukraine known as an important administrative, economic, and cultural center on the Southern Bug River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69e0b4b721588190993ac7b0a9be2736 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a7a5b0688190b45d0fa993c4765c |
completed | April 20, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08ace1b0288190a7e68ad0e83e11b6 |
completed | May 16, 2026, 5:44 p.m. |
Created at: April 16, 2026, 11:39 a.m.