Triple
T21327616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bucha |
E525801
|
entity |
| Predicate | hasOfficialName |
P66
|
FINISHED |
| Object | Bucha |
—
|
NE NERFINISHED |
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: Bucha | Statement: [Bucha, hasOfficialName, Bucha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bucha Context triple: [Bucha, hasOfficialName, Bucha]
-
A.
Bucha
chosen
Bucha is a suburban town northwest of Kyiv in northern Ukraine, internationally known as the site of alleged war crimes and civilian massacres during the 2022 Russian invasion.
-
B.
Melitopol
Melitopol is a strategically important industrial and transportation hub in southeastern Ukraine, known for its agricultural production and key road and rail connections.
-
C.
Balakliia
Balakliia is a town in Ukraine’s Kharkiv Oblast that gained prominence as a key frontline settlement during the 2022 Russian invasion.
-
D.
Kirovograd
Kirovograd is a city in central Ukraine, historically significant as a strategic site during World War II and now known as Kropyvnytskyi.
-
E.
Voznesensk
Voznesensk is a city in southern Ukraine known as an industrial and transport center situated on the Southern Bug River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7ab4d69b4819088649e34213d0b67 |
completed | April 21, 2026, 4:52 p.m. |
Created at: April 16, 2026, 4:41 p.m.