Triple
T9685753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zagyva |
E234402
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Jászberény
Jászberény is a historic town in central Hungary known as a regional cultural and economic center of the Jászság area.
|
E817188
|
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: Jászberény | Statement: [Zagyva, flowsThrough, Jászberény]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jászberény Context triple: [Zagyva, flowsThrough, Jászberény]
-
A.
Bodrogköz
Bodrogköz is a low-lying, marshy region in northeastern Hungary known for its riverine landscapes, wetlands, and traditional rural settlements.
-
B.
Mezőberény
Mezőberény is a town in southeastern Hungary known for its multicultural heritage and agricultural surroundings.
-
C.
Bicske
Bicske is a small town in central Hungary known for its historical significance and location along major transportation routes west of Budapest.
-
D.
Tiszaújváros
Tiszaújváros is an industrial town in northeastern Hungary known for its large chemical and energy industries and its location along the Tisza River.
-
E.
Bácska
Bácska is a historical region in the Pannonian Plain, today divided between northern Serbia and southern Hungary, known for its multicultural population and agricultural importance.
- 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: Jászberény Triple: [Zagyva, flowsThrough, Jászberény]
Generated description
Jászberény is a historic town in central Hungary known as a regional cultural and economic center of the Jászság area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jászberény Target entity description: Jászberény is a historic town in central Hungary known as a regional cultural and economic center of the Jászság area.
-
A.
Bodrogköz
Bodrogköz is a low-lying, marshy region in northeastern Hungary known for its riverine landscapes, wetlands, and traditional rural settlements.
-
B.
Mezőberény
Mezőberény is a town in southeastern Hungary known for its multicultural heritage and agricultural surroundings.
-
C.
Bicske
Bicske is a small town in central Hungary known for its historical significance and location along major transportation routes west of Budapest.
-
D.
Tiszaújváros
Tiszaújváros is an industrial town in northeastern Hungary known for its large chemical and energy industries and its location along the Tisza River.
-
E.
Bácska
Bácska is a historical region in the Pannonian Plain, today divided between northern Serbia and southern Hungary, known for its multicultural population and agricultural importance.
- 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_69ca84ca73208190957a900c8543bdcc |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9cd2dab481908e0d3fed28de9d40 |
completed | April 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f76aca481909692b29cac3c3dc3 |
completed | April 4, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69d1a349b95c819088ef3636b673ac97 |
completed | April 4, 2026, 11:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1a3ce85108190b9f90b590db7c972 |
completed | April 4, 2026, 11:50 p.m. |
Created at: March 30, 2026, 8:16 p.m.