Triple
T11887804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dnipro Raion |
E282832
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Dnipro Raion (English) |
E282832
|
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: Dnipro Raion (English) | Statement: [Dnipro Raion, hasNameInLanguage, Dnipro Raion (English)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dnipro Raion (English) Context triple: [Dnipro Raion, hasNameInLanguage, Dnipro Raion (English)]
-
A.
Dnipro Raion
chosen
Dnipro Raion is an administrative district in Dnipropetrovsk Oblast, Ukraine, centered around the city of Dnipro.
-
B.
Donetsk Raion
Donetsk Raion is an administrative district in Donetsk Oblast, eastern Ukraine, that includes the city of Horlivka among its settlements.
-
C.
Kropyvnytskyi Raion
Kropyvnytskyi Raion is an administrative district in central Ukraine’s Kirovohrad Oblast, centered around the city of Kropyvnytskyi.
-
D.
Volodymyr Raion
Volodymyr Raion is an administrative district in Volyn Oblast in western Ukraine, centered around the city of Volodymyr.
-
E.
Darnytskyi District
Darnytskyi District is an administrative district on the left bank of Kyiv, Ukraine, known for its residential neighborhoods and significant religious and cultural landmarks.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d3a2860c8190a21af5fcddbd2f1e |
completed | April 10, 2026, 10:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f417e919548190acbc248879f957ec |
completed | May 1, 2026, 3:03 a.m. |
Created at: April 8, 2026, 9:44 p.m.