Triple
T9703623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pest County |
E234839
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Százhalombatta
Százhalombatta is a Hungarian town on the Danube known for its major oil refinery and significant archaeological heritage, including Bronze Age burial mounds.
|
E885335
|
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: Százhalombatta | Statement: [Pest County, hasSettlement, Százhalombatta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Százhalombatta Context triple: [Pest County, hasSettlement, Százhalombatta]
-
A.
Törökbálint
Törökbálint is a town in Pest County, Hungary, located just southwest of Budapest and known as a suburban residential area with growing commercial and industrial zones.
-
B.
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.
-
C.
Mátészalka
Mátészalka is a town in northeastern Hungary known as a local administrative and economic center within the Northern Great Plain region.
-
D.
Komló
Komló is a town in southern Hungary known historically for its coal mining and hop-growing industries.
-
E.
Nagyvázsony
Nagyvázsony is a village in Veszprém County, Hungary, known for its historic Kinizsi Castle and traditional rural character.
- 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: Százhalombatta Triple: [Pest County, hasSettlement, Százhalombatta]
Generated description
Százhalombatta is a Hungarian town on the Danube known for its major oil refinery and significant archaeological heritage, including Bronze Age burial mounds.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Százhalombatta Target entity description: Százhalombatta is a Hungarian town on the Danube known for its major oil refinery and significant archaeological heritage, including Bronze Age burial mounds.
-
A.
Törökbálint
Törökbálint is a town in Pest County, Hungary, located just southwest of Budapest and known as a suburban residential area with growing commercial and industrial zones.
-
B.
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.
-
C.
Mátészalka
Mátészalka is a town in northeastern Hungary known as a local administrative and economic center within the Northern Great Plain region.
-
D.
Komló
Komló is a town in southern Hungary known historically for its coal mining and hop-growing industries.
-
E.
Nagyvázsony
Nagyvázsony is a village in Veszprém County, Hungary, known for its historic Kinizsi Castle and traditional rural character.
- 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_69ca84cc78808190a56f3402b7c139a7 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d73a0148190ad4178fd462cdd9c |
completed | April 1, 2026, 10:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de54a30b748190bb791078e9dde442 |
completed | April 14, 2026, 2:52 p.m. |
| NEDg | Description generation | batch_69de5952f6c48190abd3b87372d54f58 |
completed | April 14, 2026, 3:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de5ed49c9c8190a4085407f88d7a05 |
completed | April 14, 2026, 3:35 p.m. |
Created at: March 30, 2026, 8:18 p.m.