Triple
T8815535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donetsk Oblast |
E209766
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Horlivka |
E224979
|
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: Horlivka | Statement: [Donetsk Oblast, majorCity, Horlivka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Horlivka Context triple: [Donetsk Oblast, majorCity, Horlivka]
-
A.
Horlivka
chosen
Horlivka is an industrial city in eastern Ukraine’s Donetsk region, known for its coal mining and chemical industries and its location within the contested Donbas area.
-
B.
Shepetivka
Shepetivka is a city in western Ukraine known as the birthplace of prominent Russian politician Valentina Matviyenko.
-
C.
Horokhiv
Horokhiv is a small town in western Ukraine known for its location within the historic Volyn region.
-
D.
Vyshhorod
Vyshhorod is a historic town near Kyiv in northern Ukraine, known as a medieval residence of Kyivan Rus' princes and now an industrial and cultural center on the Dnieper River.
-
E.
Khmilnyk
Khmilnyk is a spa and resort town in central Ukraine known for its radon mineral waters and therapeutic health facilities.
- 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_69ca8363f3308190a47e3f1ebd51f613 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ff2ff248190bafcafe8b3860e53 |
completed | March 31, 2026, 11:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bc96f7288190ab8d1bbf9d428903 |
completed | April 5, 2026, 1:36 a.m. |
Created at: March 30, 2026, 6:45 p.m.