Triple
T7434780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gyor-Moson-Sopron County |
E171584
|
entity |
| Predicate | hasBorderRiver |
P225
|
FINISHED |
| Object | Rába |
E412771
|
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: Rába | Statement: [Gyor-Moson-Sopron County, hasBorderRiver, Rába]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rába Context triple: [Gyor-Moson-Sopron County, hasBorderRiver, Rába]
-
A.
Rába
chosen
Rába is a river in Central Europe that flows primarily through western Hungary and parts of Austria, eventually joining the Danube.
-
B.
Sajó
Sajó is a river in Central Europe that flows through Slovakia and northeastern Hungary before joining the Tisza River.
-
C.
Rózsa
Rózsa is the Hungarian given name of Rosika Schwimmer, a prominent early 20th-century feminist, pacifist, and suffragist activist.
-
D.
Sarolt
Sarolt was a prominent 10th-century Hungarian noblewoman and duchess, influential in the Christianization and early state formation of Hungary as the wife of Grand Prince Géza and mother of King Stephen I.
-
E.
Somlyó
Somlyó is a historical locality in the Kingdom of Hungary, best known as the birthplace of Stephen Báthory, who became King of Poland and Grand Duke of Lithuania in the 16th century.
- 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_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f328cf6081908bea065639fd3620 |
completed | March 27, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81f1d8af48190af856b5e2438781d |
completed | March 28, 2026, 6:34 p.m. |
Created at: March 27, 2026, 3:13 p.m.