Triple
T11433350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flórián Albert |
E270942
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Hercegszántó
Hercegszántó is a village in southern Hungary near the Croatian and Serbian borders, known as the birthplace of legendary Hungarian footballer Flórián Albert.
|
E957483
|
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: Hercegszántó | Statement: [Flórián Albert, placeOfBirth, Hercegszántó]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hercegszántó Context triple: [Flórián Albert, placeOfBirth, Hercegszántó]
-
A.
Herceghalom
Herceghalom is a small village in Fejér County, Hungary, situated in the central Transdanubian region.
-
B.
Sopron
Sopron is a historic city in western Hungary near the Austrian border, known for its well-preserved medieval old town and wine-making traditions.
-
C.
Makó
Makó is a town in southeastern Hungary, renowned for its onion production and thermal baths.
-
D.
Szentlőrinc
Szentlőrinc is a small town in southern Hungary known for its agricultural surroundings and role as a local service and transport hub in Baranya County.
-
E.
Villány
Villány is a small town in southern Hungary renowned as one of the country’s premier wine regions, especially famous for its red wines.
- 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: Hercegszántó Triple: [Flórián Albert, placeOfBirth, Hercegszántó]
Generated description
Hercegszántó is a village in southern Hungary near the Croatian and Serbian borders, known as the birthplace of legendary Hungarian footballer Flórián Albert.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hercegszántó Target entity description: Hercegszántó is a village in southern Hungary near the Croatian and Serbian borders, known as the birthplace of legendary Hungarian footballer Flórián Albert.
-
A.
Herceghalom
Herceghalom is a small village in Fejér County, Hungary, situated in the central Transdanubian region.
-
B.
Sopron
Sopron is a historic city in western Hungary near the Austrian border, known for its well-preserved medieval old town and wine-making traditions.
-
C.
Makó
Makó is a town in southeastern Hungary, renowned for its onion production and thermal baths.
-
D.
Szentlőrinc
Szentlőrinc is a small town in southern Hungary known for its agricultural surroundings and role as a local service and transport hub in Baranya County.
-
E.
Villány
Villány is a small town in southern Hungary renowned as one of the country’s premier wine regions, especially famous for its red wines.
- 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d806c485f481909dd3d9b0993f3faf |
completed | April 9, 2026, 8:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f470faab4c8190ac9091713080dc7a |
completed | May 1, 2026, 9:23 a.m. |
| NEDg | Description generation | batch_69f47b755f808190acb2fb31473d2405 |
completed | May 1, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f47d8bbae8819088d48b300291ef74 |
completed | May 1, 2026, 10:16 a.m. |
Created at: April 8, 2026, 9:35 p.m.