Triple
T17014022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Őrség |
E412770
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Nagyrákos
Nagyrákos is a small village in western Hungary, situated within the historic and scenic Őrség region near the Slovenian border.
|
E1287774
|
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: Nagyrákos | Statement: [Őrség, containsSettlement, Nagyrákos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nagyrákos Context triple: [Őrség, containsSettlement, Nagyrákos]
-
A.
Nagykőrös
Nagykőrös is a historic town in central Hungary known for its agricultural traditions and small-town character.
-
B.
Kiskőrös
Kiskőrös is a small town in southern Hungary known as the birthplace of the national poet Sándor Petőfi and for its wine-producing region.
-
C.
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.
-
D.
Rákosszentmihály
Rákosszentmihály is a residential neighborhood in the 16th district of Budapest, known for its suburban character and family-friendly environment.
-
E.
Budakeszi
Budakeszi is a small town in Hungary, located just west of Budapest and known for its surrounding forests and natural recreational areas.
- 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: Nagyrákos Triple: [Őrség, containsSettlement, Nagyrákos]
Generated description
Nagyrákos is a small village in western Hungary, situated within the historic and scenic Őrség region near the Slovenian border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nagyrákos Target entity description: Nagyrákos is a small village in western Hungary, situated within the historic and scenic Őrség region near the Slovenian border.
-
A.
Nagykőrös
Nagykőrös is a historic town in central Hungary known for its agricultural traditions and small-town character.
-
B.
Kiskőrös
Kiskőrös is a small town in southern Hungary known as the birthplace of the national poet Sándor Petőfi and for its wine-producing region.
-
C.
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.
-
D.
Rákosszentmihály
Rákosszentmihály is a residential neighborhood in the 16th district of Budapest, known for its suburban character and family-friendly environment.
-
E.
Budakeszi
Budakeszi is a small town in Hungary, located just west of Budapest and known for its surrounding forests and natural recreational areas.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d47e64f081908f43870c7564d0ae |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02f81f5ed08190a094a62c997d209c |
completed | May 12, 2026, 9:51 a.m. |
| NEDg | Description generation | batch_6a02f8aafefc8190b9b0c8622960b69d |
completed | May 12, 2026, 9:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02f93053dc8190b0a2aa5ff7dd2019 |
completed | May 12, 2026, 9:56 a.m. |
Created at: April 10, 2026, 5:33 a.m.