Triple
T9174670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Párkány |
E220166
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object |
Párkány
Párkány is a town on the Danube River in southern Slovakia, near the Hungarian border, historically known as a strategic site of conflicts between the Habsburg and Ottoman empires.
|
E781945
|
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: Párkány | Statement: [Battle of Párkány, location, Párkány]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Párkány Context triple: [Battle of Párkány, location, Párkány]
-
A.
Kozármisleny
Kozármisleny is a small town in southern Hungary, near Pécs, known for its growing residential character and local sports culture.
-
B.
Csákvár
Csákvár is a small town in central Hungary known for its rural character and location within the Transdanubian region.
-
C.
Mátraháza
Mátraháza is a small mountain resort village in northern Hungary, known for its scenic location in the Mátra range and its hiking and wellness tourism.
-
D.
Parádfürdő
Parádfürdő is a spa village in northern Hungary known for its mineral springs and scenic location within the Mátra mountain region.
-
E.
Nagyvázsony
Nagyvázsony is a village in Veszprém County, Hungary, known for its historic Kinizsi Castle and traditional rural 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: Párkány Triple: [Battle of Párkány, location, Párkány]
Generated description
Párkány is a town on the Danube River in southern Slovakia, near the Hungarian border, historically known as a strategic site of conflicts between the Habsburg and Ottoman empires.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Párkány Target entity description: Párkány is a town on the Danube River in southern Slovakia, near the Hungarian border, historically known as a strategic site of conflicts between the Habsburg and Ottoman empires.
-
A.
Kozármisleny
Kozármisleny is a small town in southern Hungary, near Pécs, known for its growing residential character and local sports culture.
-
B.
Csákvár
Csákvár is a small town in central Hungary known for its rural character and location within the Transdanubian region.
-
C.
Mátraháza
Mátraháza is a small mountain resort village in northern Hungary, known for its scenic location in the Mátra range and its hiking and wellness tourism.
-
D.
Parádfürdő
Parádfürdő is a spa village in northern Hungary known for its mineral springs and scenic location within the Mátra mountain region.
-
E.
Nagyvázsony
Nagyvázsony is a village in Veszprém County, Hungary, known for its historic Kinizsi Castle and traditional rural 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_69ca83e467108190abcae6a33b3d4dad |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccbfa2f9708190a955bf28a4f04004 |
completed | April 1, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d054a36ef881908079558050c67e7c |
completed | April 4, 2026, midnight |
| NEDg | Description generation | batch_69d05597d00c8190bdf51a53497c8042 |
completed | April 4, 2026, 12:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d056619c988190a11b7eb4a31f93b2 |
completed | April 4, 2026, 12:08 a.m. |
Created at: March 30, 2026, 7:23 p.m.