Triple
T15447217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gleb of Kiev |
E370054
|
entity |
| Predicate | associatedLocation |
P37
|
FINISHED |
| Object | Vyshhorod |
E417968
|
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: Vyshhorod | Statement: [Gleb of Kiev, associatedLocation, Vyshhorod]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vyshhorod Context triple: [Gleb of Kiev, associatedLocation, Vyshhorod]
-
A.
Vyshhorod
chosen
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.
-
B.
Kolomyia
Kolomyia is a historic city in western Ukraine known for its cultural heritage, traditional Hutsul art, and the renowned Pysanka (Easter egg) Museum.
-
C.
Horokhiv
Horokhiv is a small town in western Ukraine known for its location within the historic Volyn region.
-
D.
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.
-
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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ef767b4819099f2c0919a158321 |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3b205dc81908c4194a931d94074 |
completed | May 9, 2026, 11:30 p.m. |
Created at: April 10, 2026, 3:21 a.m.