Triple
T10083149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cherkasy Oblast |
E213950
|
entity |
| Predicate | hasCityStatus |
P3422
|
FINISHED |
| Object | Uman |
E819910
|
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: Uman | Statement: [Cherkasy Oblast, hasCityStatus, Uman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uman Context triple: [Cherkasy Oblast, hasCityStatus, Uman]
-
A.
Uman
chosen
Uman is a historic city in central Ukraine known for its cultural heritage and the famous Sofiyivka Park.
-
B.
Urum
Urum is a Turkic language historically spoken by certain Greek communities, particularly in parts of Ukraine and the Caucasus.
-
C.
Yuman
Yuman is a Native American language family of the southwestern United States and northwestern Mexico, encompassing several related indigenous languages and peoples.
-
D.
Gagra
Gagra is a coastal resort town on the Black Sea in the disputed region of Abkhazia, internationally recognized as part of Georgia.
-
E.
Uchali
Uchali, also known as Uluch Ali, was a prominent 16th-century Ottoman admiral and corsair who rose from captivity to become Kapudan Pasha (grand admiral) of the Ottoman fleet.
- 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_69ca839bf730819086900c323c9b8c95 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd04352d081908f676444cd2d2578 |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cbcc82988190903efb78d0a4ce81 |
completed | April 5, 2026, 8:53 p.m. |
Created at: March 30, 2026, 9 p.m.