Triple
T10309613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hajdú-Bihar County |
E241851
|
entity |
| Predicate | containsHistoricalRegion |
P13711
|
FINISHED |
| Object |
Hajdúság
Hajdúság is a historical region in eastern Hungary known for its hajdú (heyduck) soldier-settler heritage and distinctive agricultural traditions.
|
E817189
|
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: Hajdúság | Statement: [Hajdú-Bihar County, containsHistoricalRegion, Hajdúság]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hajdúság Context triple: [Hajdú-Bihar County, containsHistoricalRegion, Hajdúság]
-
A.
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.
-
B.
Nagykőrös
Nagykőrös is a historic town in central Hungary known for its agricultural traditions and small-town character.
-
C.
Hajdúböszörmény
Hajdúböszörmény is a historic town in eastern Hungary known for its hajdú (heyduck) heritage and spacious, uniquely circular urban layout.
-
D.
Bonyhád
Bonyhád is a town in southern Hungary known as an important local center within Tolna County.
-
E.
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.
- 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: Hajdúság Triple: [Hajdú-Bihar County, containsHistoricalRegion, Hajdúság]
Generated description
Hajdúság is a historical region in eastern Hungary known for its hajdú (heyduck) soldier-settler heritage and distinctive agricultural traditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hajdúság Target entity description: Hajdúság is a historical region in eastern Hungary known for its hajdú (heyduck) soldier-settler heritage and distinctive agricultural traditions.
-
A.
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.
-
B.
Nagykőrös
Nagykőrös is a historic town in central Hungary known for its agricultural traditions and small-town character.
-
C.
Hajdúböszörmény
chosen
Hajdúböszörmény is a historic town in eastern Hungary known for its hajdú (heyduck) heritage and spacious, uniquely circular urban layout.
-
D.
Bonyhád
Bonyhád is a town in southern Hungary known as an important local center within Tolna County.
-
E.
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.
- F. None of above.
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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d32a18ac81909b4efd8c1ba3e113 |
completed | April 7, 2026, 9:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c5a9dc881909b695f7e87dfcdf6 |
completed | May 2, 2026, 10:36 p.m. |
| NEDg | Description generation | batch_69f67db4dd2081909a238e368645e899 |
completed | May 2, 2026, 10:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67ec570a881909c98471b701999f0 |
completed | May 2, 2026, 10:46 p.m. |
Created at: April 6, 2026, 11:47 a.m.