Triple
T2929833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagano |
E78933
|
entity |
| Predicate | hasSisterCity |
P919
|
FINISHED |
| Object | Minsk, Belarus |
E43503
|
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: Minsk, Belarus | Statement: [Nagano, hasSisterCity, Minsk, Belarus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minsk, Belarus Context triple: [Nagano, hasSisterCity, Minsk, Belarus]
-
A.
Minsk
chosen
Minsk is the capital and largest city of Belarus, serving as its political, economic, and cultural center.
-
B.
Brest (Belarus)
Brest is a city in southwestern Belarus near the Polish border, known as a major transport hub and for the historic Brest Fortress, a key World War II memorial.
-
C.
Gomel
Gomel is a major city in southeastern Belarus, serving as an important cultural, industrial, and economic center near the border with Russia and Ukraine.
-
D.
Yunost Minsk
Yunost Minsk is a prominent Belarusian ice hockey club renowned for its multiple international and domestic titles and strong performances in European competitions.
-
E.
Mogilev
Mogilev is a major city in eastern Belarus known as an important industrial and cultural center on the Dnieper River.
- 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_69ad8b0d40b481908bc2a5fa2e73c3fb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98002da4819098d6448eebcafad4 |
completed | March 8, 2026, 3:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b086703868819083eacc3fe392fde1 |
completed | March 10, 2026, 9 p.m. |
Created at: March 8, 2026, 2:55 p.m.