Triple
T17582422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uman Uyezd |
E428236
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Uman |
—
|
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: Uman | Statement: [Uman Uyezd, administrativeCenter, Uman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uman Context triple: [Uman Uyezd, administrativeCenter, 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.
Njeru
Njeru is a town in eastern Uganda located near the source of the Nile River, known for its industrial activities and proximity to Jinja.
-
E.
Yussois
Yussois is the French demonym for inhabitants of the town of Yutz in northeastern France.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e463cf556881908d2935b3761f65df |
completed | April 19, 2026, 5:10 a.m. |
Created at: April 10, 2026, 5:50 a.m.