Triple
T4254838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Szentendre |
E95946
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Vác
Vác is a historic town on the Danube in northern Hungary, known for its Baroque architecture and role as a regional cultural and religious center.
|
E426950
|
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: Vác | Statement: [Szentendre, hasTwinTown, Vác]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vác Context triple: [Szentendre, hasTwinTown, Vác]
-
A.
Nitra
Nitra is one of the oldest cities in Slovakia, known for its historic castle, early Christian heritage, and role as a cultural and academic center.
-
B.
Zvolen
Zvolen is a historic town in central Slovakia known for its medieval castle and role as a regional transport and cultural hub.
-
C.
Karviná
Karviná is an industrial city in the Moravian-Silesian Region of the Czech Republic, historically part of Cieszyn Silesia and known for its coal mining heritage.
-
D.
Dubnica nad Váhom
Dubnica nad Váhom is a town in western Slovakia known as an industrial center and the hometown of several notable Slovak athletes.
-
E.
Šamorín
Šamorín is a small town in southwestern Slovakia known for its equestrian sports complex, proximity to the Danube River, and growing role as a suburban area near Bratislava.
- 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: Vác Triple: [Szentendre, hasTwinTown, Vác]
Generated description
Vác is a historic town on the Danube in northern Hungary, known for its Baroque architecture and role as a regional cultural and religious center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vác Target entity description: Vác is a historic town on the Danube in northern Hungary, known for its Baroque architecture and role as a regional cultural and religious center.
-
A.
Nitra
Nitra is one of the oldest cities in Slovakia, known for its historic castle, early Christian heritage, and role as a cultural and academic center.
-
B.
Zvolen
Zvolen is a historic town in central Slovakia known for its medieval castle and role as a regional transport and cultural hub.
-
C.
Karviná
Karviná is an industrial city in the Moravian-Silesian Region of the Czech Republic, historically part of Cieszyn Silesia and known for its coal mining heritage.
-
D.
Dubnica nad Váhom
Dubnica nad Váhom is a town in western Slovakia known as an industrial center and the hometown of several notable Slovak athletes.
-
E.
Šamorín
Šamorín is a small town in southwestern Slovakia known for its equestrian sports complex, proximity to the Danube River, and growing role as a suburban area near Bratislava.
- 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_69b3453f759881909b91f01a1e82c036 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ec036e8819087d8585170707545 |
completed | March 12, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b78422a88190a67921ee38638ac8 |
completed | March 14, 2026, 7:31 p.m. |
| NEDg | Description generation | batch_69b5bb4d7b8c8190910525c855c83b83 |
completed | March 14, 2026, 7:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5bbba644881908f2f3be9dda7042b |
completed | March 14, 2026, 7:49 p.m. |
Created at: March 12, 2026, 11:06 p.m.