Triple
T20846340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ajka District |
E513234
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Somlójenő |
—
|
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: Somlójenő | Statement: [Ajka District, containsSettlement, Somlójenő]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Somlójenő Context triple: [Ajka District, containsSettlement, Somlójenő]
-
A.
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.
-
B.
Zólyom
Zólyom is the historical Hungarian name for the Slovak town of Zvolen, an important medieval center in central Slovakia.
-
C.
Jánossomorja
Jánossomorja is a small town in northwestern Hungary, near the Austrian border, known for its agricultural surroundings and cross-border connections.
-
D.
Nemesgulács
chosen
Nemesgulács is a small village in Veszprém County in western Hungary, situated near the volcanic hills of the Tapolca Basin.
-
E.
Mórahalom
Mórahalom is a small town in southern Hungary near the Serbian border, known for its thermal spa and role as a local agricultural and tourism center.
- 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_69e0b4f4898081908209e58edb8f9c45 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c34ffb588190881953a0480b29a8 |
completed | April 21, 2026, 12:22 a.m. |
Created at: April 16, 2026, 12:43 p.m.