Triple
T17584287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danube Bend |
E428279
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Nagymaros
Nagymaros is a small Hungarian town on the Danube River, known for its scenic views of the Danube Bend and the nearby Visegrád Castle.
|
E1303748
|
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: Nagymaros | Statement: [Danube Bend, containsTown, Nagymaros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nagymaros Context triple: [Danube Bend, containsTown, Nagymaros]
-
A.
Nagykőrös
Nagykőrös is a historic town in central Hungary known for its agricultural traditions and small-town character.
-
B.
Nagycsarnok
Nagycsarnok is Budapest’s largest and most famous indoor market hall, renowned for its grand architecture and bustling stalls selling fresh produce, local foods, and Hungarian specialties.
-
C.
Nagyvázsony
Nagyvázsony is a village in Veszprém County, Hungary, known for its historic Kinizsi Castle and traditional rural character.
-
D.
Mátészalka
Mátészalka is a town in northeastern Hungary known as a local administrative and economic center within the Northern Great Plain region.
-
E.
Egerszalók
Egerszalók is a Hungarian village famous for its thermal springs and striking terraced salt hill spa complex.
- 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: Nagymaros Triple: [Danube Bend, containsTown, Nagymaros]
Generated description
Nagymaros is a small Hungarian town on the Danube River, known for its scenic views of the Danube Bend and the nearby Visegrád Castle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nagymaros Target entity description: Nagymaros is a small Hungarian town on the Danube River, known for its scenic views of the Danube Bend and the nearby Visegrád Castle.
-
A.
Nagykőrös
Nagykőrös is a historic town in central Hungary known for its agricultural traditions and small-town character.
-
B.
Nagycsarnok
Nagycsarnok is Budapest’s largest and most famous indoor market hall, renowned for its grand architecture and bustling stalls selling fresh produce, local foods, and Hungarian specialties.
-
C.
Nagyvázsony
Nagyvázsony is a village in Veszprém County, Hungary, known for its historic Kinizsi Castle and traditional rural character.
-
D.
Mátészalka
Mátészalka is a town in northeastern Hungary known as a local administrative and economic center within the Northern Great Plain region.
-
E.
Egerszalók
Egerszalók is a Hungarian village famous for its thermal springs and striking terraced salt hill spa complex.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e463d015fc8190b2dd897026d6fcb5 |
completed | April 19, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03565123ec8190a763409706981a60 |
completed | May 12, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_6a03585f4a848190af695ec188bcc61c |
completed | May 12, 2026, 4:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0358bb0020819086659607d75b0a13 |
completed | May 12, 2026, 4:43 p.m. |
Created at: April 10, 2026, 5:50 a.m.