Triple
T5249441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dendermonde |
E118546
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Kozármisleny
Kozármisleny is a small town in southern Hungary, near Pécs, known for its growing residential character and local sports culture.
|
E505529
|
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: Kozármisleny | Statement: [Dendermonde, hasTwinTown, Kozármisleny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kozármisleny Context triple: [Dendermonde, hasTwinTown, Kozármisleny]
-
A.
Komárno
Komárno is a historic town and river port in southern Slovakia, situated at the confluence of the Danube and Váh rivers on the border with Hungary.
-
B.
Ružomberok
Ružomberok is a town in northern Slovakia known for its location in the Liptov region and its historical and cultural significance.
-
C.
Sedlčany
Sedlčany is a small historic town in the Czech Republic known for its traditional cheese production and location on the Mastník River.
-
D.
Tiszaújváros
Tiszaújváros is an industrial town in northeastern Hungary known for its large chemical and energy industries and its location along the Tisza River.
-
E.
Liptovská Osada
Liptovská Osada is a village in the Liptov region of northern Slovakia, known for its mountainous surroundings and proximity to the Low Tatras.
- 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: Kozármisleny Triple: [Dendermonde, hasTwinTown, Kozármisleny]
Generated description
Kozármisleny is a small town in southern Hungary, near Pécs, known for its growing residential character and local sports culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kozármisleny Target entity description: Kozármisleny is a small town in southern Hungary, near Pécs, known for its growing residential character and local sports culture.
-
A.
Komárno
Komárno is a historic town and river port in southern Slovakia, situated at the confluence of the Danube and Váh rivers on the border with Hungary.
-
B.
Ružomberok
Ružomberok is a town in northern Slovakia known for its location in the Liptov region and its historical and cultural significance.
-
C.
Sedlčany
Sedlčany is a small historic town in the Czech Republic known for its traditional cheese production and location on the Mastník River.
-
D.
Tiszaújváros
Tiszaújváros is an industrial town in northeastern Hungary known for its large chemical and energy industries and its location along the Tisza River.
-
E.
Liptovská Osada
Liptovská Osada is a village in the Liptov region of northern Slovakia, known for its mountainous surroundings and proximity to the Low Tatras.
- 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_69bd4468aacc8190a8196f71855cdf4f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b787b34819081af96de9355bb4f |
completed | March 20, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef83998f881909fef2746f5c496af |
completed | March 21, 2026, 7:57 p.m. |
| NEDg | Description generation | batch_69befa746be88190a8d807317ab36430 |
completed | March 21, 2026, 8:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69befac54e8c8190986aca0f5591d04e |
completed | March 21, 2026, 8:08 p.m. |
Created at: March 20, 2026, 1:50 p.m.