Triple
T14865171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danube Promenade |
E349596
|
entity |
| Predicate | hasLocalName |
P6353
|
FINISHED |
| Object |
Dunakorzó
Dunakorzó is a scenic riverside promenade along the Danube in central Budapest, known for its historic architecture, views of Buda Castle, and popular walking paths.
|
E1136612
|
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: Dunakorzó | Statement: [Danube Promenade, hasLocalName, Dunakorzó]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dunakorzó Context triple: [Danube Promenade, hasLocalName, Dunakorzó]
-
A.
Rozsnyó
Rozsnyó is a historic town in present-day Slovakia, known for its medieval center and long-standing cultural significance within the Felvidék (Upper Hungary) region.
-
B.
Bonyhád
Bonyhád is a town in southern Hungary known as an important local center within Tolna County.
-
C.
Balvanyos
Balvanyos is a Romanian mountain resort area known for its natural mineral springs, spa facilities, and scenic surroundings in the Eastern Carpathians.
-
D.
Dunaharaszti
Dunaharaszti is a town in central Hungary that functions largely as a suburban residential and industrial area near Budapest.
-
E.
Nagykőrös
Nagykőrös is a historic town in central Hungary known for its agricultural traditions and small-town character.
- 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: Dunakorzó Triple: [Danube Promenade, hasLocalName, Dunakorzó]
Generated description
Dunakorzó is a scenic riverside promenade along the Danube in central Budapest, known for its historic architecture, views of Buda Castle, and popular walking paths.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dunakorzó Target entity description: Dunakorzó is a scenic riverside promenade along the Danube in central Budapest, known for its historic architecture, views of Buda Castle, and popular walking paths.
-
A.
Rozsnyó
Rozsnyó is a historic town in present-day Slovakia, known for its medieval center and long-standing cultural significance within the Felvidék (Upper Hungary) region.
-
B.
Bonyhád
Bonyhád is a town in southern Hungary known as an important local center within Tolna County.
-
C.
Balvanyos
Balvanyos is a Romanian mountain resort area known for its natural mineral springs, spa facilities, and scenic surroundings in the Eastern Carpathians.
-
D.
Dunaharaszti
Dunaharaszti is a town in central Hungary that functions largely as a suburban residential and industrial area near Budapest.
-
E.
Nagykőrös
Nagykőrös is a historic town in central Hungary known for its agricultural traditions and small-town character.
- 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_69feae005644819098937cedb53202c5 |
completed | May 9, 2026, 3:46 a.m. |
| NEDg | Description generation | batch_69feaed6acc881909a70376ea3805935 |
completed | May 9, 2026, 3:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feb014d9108190b7417f0b3c1838f5 |
completed | May 9, 2026, 3:55 a.m. |
Created at: April 10, 2026, 1:55 a.m.