Triple
T5471408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper Hungary |
E122840
|
entity |
| Predicate | notableCity |
P2813
|
FINISHED |
| Object |
Eperjes
Eperjes is a historic town in present-day Slovakia, known today as Prešov, which was one of the major urban centers of the former Upper Hungary region.
|
E523394
|
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: Eperjes | Statement: [Upper Hungary, notableCity, Eperjes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eperjes Context triple: [Upper Hungary, notableCity, Eperjes]
-
A.
Ercsi
Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
-
B.
Sarolt
Sarolt was a prominent 10th-century Hungarian noblewoman and duchess, influential in the Christianization and early state formation of Hungary as the wife of Grand Prince Géza and mother of King Stephen I.
-
C.
Zagyva
Zagyva is a river in northern Hungary that flows through towns such as Salgótarján and Hatvan before joining the Tisza River.
-
D.
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.
-
E.
Karesz
Karesz is a Hungarian diminutive form of the male given name Károly.
- 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: Eperjes Triple: [Upper Hungary, notableCity, Eperjes]
Generated description
Eperjes is a historic town in present-day Slovakia, known today as Prešov, which was one of the major urban centers of the former Upper Hungary region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eperjes Target entity description: Eperjes is a historic town in present-day Slovakia, known today as Prešov, which was one of the major urban centers of the former Upper Hungary region.
-
A.
Ercsi
Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
-
B.
Sarolt
Sarolt was a prominent 10th-century Hungarian noblewoman and duchess, influential in the Christianization and early state formation of Hungary as the wife of Grand Prince Géza and mother of King Stephen I.
-
C.
Zagyva
Zagyva is a river in northern Hungary that flows through towns such as Salgótarján and Hatvan before joining the Tisza River.
-
D.
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.
-
E.
Karesz
Karesz is a Hungarian diminutive form of the male given name Károly.
- 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_69bd46459ff48190823377457bcf7128 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd921d02188190b5c1eee7205ea88e |
completed | March 20, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf4895b77c819089629d2296a230bc |
completed | March 22, 2026, 1:40 a.m. |
| NEDg | Description generation | batch_69bf4c43b8bc81908b28e1b8287400c7 |
completed | March 22, 2026, 1:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf4cadc9508190a901a6fe6702f1b7 |
completed | March 22, 2026, 1:58 a.m. |
Created at: March 20, 2026, 2:09 p.m.