Triple
T11973578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rimavská Sobota |
E284979
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Ózd |
E839860
|
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: Ózd | Statement: [Rimavská Sobota, hasTwinTown, Ózd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ózd Context triple: [Rimavská Sobota, hasTwinTown, Ózd]
-
A.
Ózd
chosen
Ózd is an industrial town in northeastern Hungary known historically for its steel production and working-class heritage.
-
B.
Odzun
Odzun is a historic village in Armenia’s Lori Province, known for its ancient basilica and scenic location on a plateau above the Debed River gorge.
-
C.
Ercsi
Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
-
D.
Oroszlány
Oroszlány is a town in northwestern Hungary known historically for its coal mining and industrial character.
-
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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9039107e48190ae4c4efd6257dd3c |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4598d62a8819087f83912d1e45b27 |
completed | May 1, 2026, 7:43 a.m. |
Created at: April 8, 2026, 9:46 p.m.