Triple
T19896111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | southern front of the Russo-Ukrainian War |
E478156
|
entity |
| Predicate | includesCity |
P3207
|
FINISHED |
| Object | Melitopol |
E302522
|
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: Melitopol | Statement: [southern front of the Russo-Ukrainian War, includesCity, Melitopol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melitopol Context triple: [southern front of the Russo-Ukrainian War, includesCity, Melitopol]
-
A.
Melitopol
chosen
Melitopol is a strategically important industrial and transportation hub in southeastern Ukraine, known for its agricultural production and key road and rail connections.
-
B.
Myrhorod
Myrhorod is a historic city in central Ukraine, known for its mineral springs and as the setting of several stories by writer Nikolai Gogol.
-
C.
Oleksandriia
Oleksandriia is a city in central Ukraine known as an industrial and transport hub within the Kirovohrad region.
-
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.
Dniprodzerzhynsk
Dniprodzerzhynsk (now officially called Kamianske) is an industrial city in central Ukraine known for its heavy industry and metallurgical enterprises along the Dnieper 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6593dba78819082c8b80e65246171 |
completed | April 20, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a085a0aa72c8190be30c5abd4c68786 |
completed | May 16, 2026, 11:50 a.m. |
Created at: April 10, 2026, 1:52 p.m.