Triple
T6872807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nassau, Germany |
E158592
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Kisvárda, Hungary
Kisvárda is a small town in northeastern Hungary known for its historic castle, thermal baths, and role as a regional cultural and economic center.
|
E626286
|
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: Kisvárda, Hungary | Statement: [Nassau, Germany, hasTwinTown, Kisvárda, Hungary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kisvárda, Hungary Context triple: [Nassau, Germany, hasTwinTown, Kisvárda, Hungary]
-
A.
Kaposvár, Hungary
Kaposvár is a city in southwestern Hungary that serves as the administrative and cultural center of Somogy County.
-
B.
Budaörs, Hungary
Budaörs is a suburban town just west of Budapest in Hungary, known for its rapid post-communist development, commercial centers, and role as a key transport hub near the capital.
-
C.
Ricse, Hungary
Ricse, Hungary is a small village in northeastern Hungary best known as the birthplace of film mogul Adolph Zukor, a founder of Paramount Pictures.
-
D.
Kaposvár
Kaposvár is a city in southwestern Hungary that serves as the administrative and cultural center of Somogy County.
-
E.
Dunaújváros
Dunaújváros is an industrial city in central Hungary known for its steel production and post-war socialist urban planning.
- 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: Kisvárda, Hungary Triple: [Nassau, Germany, hasTwinTown, Kisvárda, Hungary]
Generated description
Kisvárda is a small town in northeastern Hungary known for its historic castle, thermal baths, and role as a regional cultural and economic center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kisvárda, Hungary Target entity description: Kisvárda is a small town in northeastern Hungary known for its historic castle, thermal baths, and role as a regional cultural and economic center.
-
A.
Kaposvár, Hungary
Kaposvár is a city in southwestern Hungary that serves as the administrative and cultural center of Somogy County.
-
B.
Budaörs, Hungary
Budaörs is a suburban town just west of Budapest in Hungary, known for its rapid post-communist development, commercial centers, and role as a key transport hub near the capital.
-
C.
Ricse, Hungary
Ricse, Hungary is a small village in northeastern Hungary best known as the birthplace of film mogul Adolph Zukor, a founder of Paramount Pictures.
-
D.
Kaposvár
Kaposvár is a city in southwestern Hungary that serves as the administrative and cultural center of Somogy County.
-
E.
Dunaújváros
Dunaújváros is an industrial city in central Hungary known for its steel production and post-war socialist urban planning.
- 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_69c68832af1481908ce356e133ebaebe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8c73ea08190b6bb1463e7ead47b |
completed | March 27, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c742af0df88190bb23b7495c279e08 |
completed | March 28, 2026, 2:53 a.m. |
| NEDg | Description generation | batch_69c74340b8d08190a9875f9ba8cc9394 |
completed | March 28, 2026, 2:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7441d394081909545893c3e5db227 |
completed | March 28, 2026, 2:59 a.m. |
Created at: March 27, 2026, 2:22 p.m.