Triple
T11704064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Felvidék |
E278196
|
entity |
| Predicate | containsHistoricalCity |
P43430
|
FINISHED |
| Object |
Zólyom
Zólyom is the historical Hungarian name for the Slovak town of Zvolen, an important medieval center in central Slovakia.
|
E1038626
|
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: Zólyom | Statement: [Felvidék, containsHistoricalCity, Zólyom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zólyom Context triple: [Felvidék, containsHistoricalCity, Zólyom]
-
A.
Somlyó
Somlyó is a historical locality in the Kingdom of Hungary, best known as the birthplace of Stephen Báthory, who became King of Poland and Grand Duke of Lithuania in the 16th century.
-
B.
Bóly
Bóly is a small town in southern Hungary known for its agricultural surroundings and location within Baranya County.
-
C.
Sajó
Sajó is a river in Central Europe that flows through Slovakia and northeastern Hungary before joining the Tisza River.
-
D.
Bodrogköz
Bodrogköz is a low-lying, marshy region in northeastern Hungary known for its riverine landscapes, wetlands, and traditional rural settlements.
-
E.
Gyor
Győr is a historic city in northwestern Hungary, strategically located at the confluence of the Danube, Rába, and Rábca rivers and known as an important regional industrial and cultural center.
- 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: Zólyom Triple: [Felvidék, containsHistoricalCity, Zólyom]
Generated description
Zólyom is the historical Hungarian name for the Slovak town of Zvolen, an important medieval center in central Slovakia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zólyom Target entity description: Zólyom is the historical Hungarian name for the Slovak town of Zvolen, an important medieval center in central Slovakia.
-
A.
Somlyó
Somlyó is a historical locality in the Kingdom of Hungary, best known as the birthplace of Stephen Báthory, who became King of Poland and Grand Duke of Lithuania in the 16th century.
-
B.
Bóly
Bóly is a small town in southern Hungary known for its agricultural surroundings and location within Baranya County.
-
C.
Sajó
Sajó is a river in Central Europe that flows through Slovakia and northeastern Hungary before joining the Tisza River.
-
D.
Bodrogköz
Bodrogköz is a low-lying, marshy region in northeastern Hungary known for its riverine landscapes, wetlands, and traditional rural settlements.
-
E.
Gyor
Győr is a historic city in northwestern Hungary, strategically located at the confluence of the Danube, Rába, and Rábca rivers and known as an important regional industrial and cultural center.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a49b1080819096593733ee48a187 |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7304bc684819083ca999f283b0cb3 |
completed | May 3, 2026, 11:23 a.m. |
| NEDg | Description generation | batch_69f7316101e48190b3ec59a4376a0562 |
completed | May 3, 2026, 11:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f731f8e98c8190becfad8e3a371484 |
completed | May 3, 2026, 11:31 a.m. |
Created at: April 8, 2026, 9:40 p.m.