Triple
T10897124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eparchy of Nyíregyháza |
E257337
|
entity |
| Predicate | hasEcclesiasticalProvince |
P3089
|
FINISHED |
| Object | Hajdúdorog |
E1009392
|
NE FINISHED |
How this triple was built (2 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: Hajdúdorog | Statement: [Eparchy of Nyíregyháza, hasEcclesiasticalProvince, Hajdúdorog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hajdúdorog Context triple: [Eparchy of Nyíregyháza, hasEcclesiasticalProvince, Hajdúdorog]
-
A.
Hajdúdorog
chosen
Hajdúdorog is a town in northeastern Hungary known as a center of the Hungarian Greek Catholic Church.
-
B.
Dombóvár
Dombóvár is a town in southern Hungary known as an important local transport and economic center within Tolna County.
-
C.
Hajdúszoboszló
Hajdúszoboszló is a Hungarian spa town renowned for its thermal baths and large water park, making it a major health and wellness tourism destination.
-
D.
Dunakeszi
Dunakeszi is a town in Hungary located just north of Budapest, known as a rapidly growing suburban and commuter settlement along the Danube in Pest County.
-
E.
Derecske
Derecske is a small town in eastern Hungary located within Hajdú-Bihar County, known for its agricultural surroundings and local rural character.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75d02e4c88190b8286078e90bf913 |
completed | April 9, 2026, 8:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbaa8acc8190839b9a9f9f821168 |
completed | May 3, 2026, 4:14 a.m. |
Created at: April 8, 2026, 9:21 p.m.