Triple
T14865909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | District IV of Budapest |
E349614
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Káposztásmegyer
Káposztásmegyer is a predominantly residential neighborhood in northern Budapest known for its large housing estates and family-oriented urban environment.
|
E1123532
|
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: Káposztásmegyer | Statement: [District IV of Budapest, hasPart, Káposztásmegyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Káposztásmegyer Context triple: [District IV of Budapest, hasPart, Káposztásmegyer]
-
A.
Mezőkeresztes
Mezőkeresztes is a town in northeastern Hungary historically notable as the site of a major 1596 battle between Ottoman and Habsburg forces.
-
B.
Mezőkövesd
Mezőkövesd is a town in northeastern Hungary known for its Matyó folk art traditions and cultural heritage.
-
C.
Nagykőrös
Nagykőrös is a historic town in central Hungary known for its agricultural traditions and small-town character.
-
D.
Kiskőrös
Kiskőrös is a small town in southern Hungary known as the birthplace of the national poet Sándor Petőfi and for its wine-producing region.
-
E.
Kőszeg
Kőszeg is a historic Hungarian town near the Austrian border, renowned for its well-preserved medieval architecture and role in defending against Ottoman sieges.
- 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: Káposztásmegyer Triple: [District IV of Budapest, hasPart, Káposztásmegyer]
Generated description
Káposztásmegyer is a predominantly residential neighborhood in northern Budapest known for its large housing estates and family-oriented urban environment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Káposztásmegyer Target entity description: Káposztásmegyer is a predominantly residential neighborhood in northern Budapest known for its large housing estates and family-oriented urban environment.
-
A.
Mezőkeresztes
Mezőkeresztes is a town in northeastern Hungary historically notable as the site of a major 1596 battle between Ottoman and Habsburg forces.
-
B.
Mezőkövesd
Mezőkövesd is a town in northeastern Hungary known for its Matyó folk art traditions and cultural heritage.
-
C.
Nagykőrös
Nagykőrös is a historic town in central Hungary known for its agricultural traditions and small-town character.
-
D.
Kiskőrös
Kiskőrös is a small town in southern Hungary known as the birthplace of the national poet Sándor Petőfi and for its wine-producing region.
-
E.
Kőszeg
Kőszeg is a historic Hungarian town near the Austrian border, renowned for its well-preserved medieval architecture and role in defending against Ottoman sieges.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5761c688190b4477cb081554b51 |
completed | April 15, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe650e8aec8190acd4a9cb9cad2039 |
completed | May 8, 2026, 10:34 p.m. |
| NEDg | Description generation | batch_69fe65ac6a5c81908621dc17edc6b04f |
completed | May 8, 2026, 10:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe6697fe3881908aae42abe56d86f8 |
completed | May 8, 2026, 10:41 p.m. |
Created at: April 10, 2026, 1:55 a.m.