Triple
T18152250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Złota Lipa River |
E434532
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Berezhany |
—
|
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: Berezhany | Statement: [Złota Lipa River, flowsThrough, Berezhany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berezhany Context triple: [Złota Lipa River, flowsThrough, Berezhany]
-
A.
Berezhany
chosen
Berezhany is a historic town in western Ukraine’s Ternopil Oblast, known for its well-preserved Renaissance castle and multicultural heritage.
-
B.
Zolochiv
Zolochiv is a historic town in western Ukraine known for its multicultural heritage and notable castle complex.
-
C.
Vyzhnytsia
Vyzhnytsia is a small town in western Ukraine’s Chernivtsi Oblast, historically part of Bukovina and known as the original home of the Vizhnitz Hasidic dynasty.
-
D.
Chortkiv
Chortkiv is a historic town in western Ukraine known for its architectural landmarks and role as a local cultural and administrative center.
-
E.
Kremenets
Kremenets is a historic town in western Ukraine known for its rich cultural heritage and once-significant Jewish community.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de39a8f481908d1752767d0aae0e |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.