Triple
T19509837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Budaörs |
E488117
|
entity |
| Predicate | twinnedWith |
P1072
|
FINISHED |
| Object |
Kisújfalu
Kisújfalu is a small village in Hungary known primarily as a local rural community rather than a major urban or tourist center.
|
E1380208
|
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: Kisújfalu | Statement: [Budaörs, twinnedWith, Kisújfalu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kisújfalu Context triple: [Budaörs, twinnedWith, Kisújfalu]
-
A.
Kisújszállás
Kisújszállás is a small town in eastern Hungary known for its agricultural surroundings and location on the Great Hungarian Plain.
-
B.
Tiszaújváros
Tiszaújváros is an industrial town in northeastern Hungary known for its large chemical and energy industries and its location along the Tisza River.
-
C.
Nagykőrös
Nagykőrös is a historic town in central Hungary known for its agricultural traditions and small-town character.
-
D.
Gyor
Győr is a historic city in northwestern Hungary, strategically located at the confluence of the Danube, Rába, and Rábca rivers and known as an important regional industrial and cultural center.
-
E.
Kiskunhalas
Kiskunhalas is a town in southern Hungary known for its traditional lace-making and agricultural economy.
- 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: Kisújfalu Triple: [Budaörs, twinnedWith, Kisújfalu]
Generated description
Kisújfalu is a small village in Hungary known primarily as a local rural community rather than a major urban or tourist center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kisújfalu Target entity description: Kisújfalu is a small village in Hungary known primarily as a local rural community rather than a major urban or tourist center.
-
A.
Kisújszállás
Kisújszállás is a small town in eastern Hungary known for its agricultural surroundings and location on the Great Hungarian Plain.
-
B.
Tiszaújváros
Tiszaújváros is an industrial town in northeastern Hungary known for its large chemical and energy industries and its location along the Tisza River.
-
C.
Nagykőrös
Nagykőrös is a historic town in central Hungary known for its agricultural traditions and small-town character.
-
D.
Gyor
Győr is a historic city in northwestern Hungary, strategically located at the confluence of the Danube, Rába, and Rábca rivers and known as an important regional industrial and cultural center.
-
E.
Kiskunhalas
Kiskunhalas is a town in southern Hungary known for its traditional lace-making and agricultural economy.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6351547e481909a875bba40651094 |
completed | April 20, 2026, 2:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0747216ce4819084a42dd1d8b095d5 |
completed | May 15, 2026, 4:17 p.m. |
| NEDg | Description generation | batch_6a0747f6b1d48190a3e70576ddb4feb2 |
completed | May 15, 2026, 4:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07492259488190a8c405598f9c8878 |
completed | May 15, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:40 p.m.