Triple
T10309586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hajdú-Bihar County |
E241851
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Hajdúnánás
Hajdúnánás is a town in eastern Hungary known for its agricultural surroundings, thermal baths, and location within the Northern Great Plain region.
|
E855618
|
NE FINISHED |
How this triple was built (4 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: Hajdúnánás | Statement: [Hajdú-Bihar County, containsCity, Hajdúnánás]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hajdúnánás Context triple: [Hajdú-Bihar County, containsCity, Hajdúnánás]
-
A.
Harkányi
Harkányi is a Hungarian surname associated with individuals such as Mici Mária Harkányi.
-
B.
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.
-
C.
Losonczi
Losonczi is a Hungarian surname most notably borne by Pál Losonczi, a former Chairman of the Presidential Council of the Hungarian People's Republic.
-
D.
Hadár
Hadár is the guiding motto of the Betar youth movement, emphasizing Jewish pride, dignity, and disciplined self-respect.
-
E.
Ercsi
Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hajdúnánás Triple: [Hajdú-Bihar County, containsCity, Hajdúnánás]
Generated description
Hajdúnánás is a town in eastern Hungary known for its agricultural surroundings, thermal baths, and location within the Northern Great Plain region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hajdúnánás Target entity description: Hajdúnánás is a town in eastern Hungary known for its agricultural surroundings, thermal baths, and location within the Northern Great Plain region.
-
A.
Harkányi
Harkányi is a Hungarian surname associated with individuals such as Mici Mária Harkányi.
-
B.
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.
-
C.
Losonczi
Losonczi is a Hungarian surname most notably borne by Pál Losonczi, a former Chairman of the Presidential Council of the Hungarian People's Republic.
-
D.
Hadár
Hadár is the guiding motto of the Betar youth movement, emphasizing Jewish pride, dignity, and disciplined self-respect.
-
E.
Ercsi
Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
- F. None of above. chosen
Provenance (5 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d32a18ac81909b4efd8c1ba3e113 |
completed | April 7, 2026, 9:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d7154b88190a0ae1dfa029b125e |
completed | April 9, 2026, 3:30 a.m. |
| NEDg | Description generation | batch_69d73186831481909555e2205d8783a7 |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d732bfc76c819089287477b54a7b77 |
completed | April 9, 2026, 5:01 a.m. |
Created at: April 6, 2026, 11:47 a.m.