Triple
T11704057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Felvidék |
E278196
|
entity |
| Predicate | containsHistoricalCity |
P43430
|
FINISHED |
| Object |
Besztercebánya
Besztercebánya is a historic mining and cultural city in central Slovakia, known in Hungarian as Besztercebánya and in Slovak as Banská Bystrica.
|
E1029901
|
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: Besztercebánya | Statement: [Felvidék, containsHistoricalCity, Besztercebánya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Besztercebánya Context triple: [Felvidék, containsHistoricalCity, Besztercebánya]
-
A.
Selmecbánya
Selmecbánya is the historical Hungarian name for Banská Štiavnica, a renowned medieval mining town and UNESCO World Heritage site in present-day central Slovakia.
-
B.
Egerszalók
Egerszalók is a Hungarian village famous for its thermal springs and striking terraced salt hill spa complex.
-
C.
Bonyhád
Bonyhád is a town in southern Hungary known as an important local center within Tolna County.
-
D.
Jászberény
Jászberény is a historic town in central Hungary known as a regional cultural and economic center of the Jászság area.
-
E.
Tatabánya
Tatabánya is an industrial city in northwestern Hungary known for its mining heritage and role as a regional economic center.
- 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: Besztercebánya Triple: [Felvidék, containsHistoricalCity, Besztercebánya]
Generated description
Besztercebánya is a historic mining and cultural city in central Slovakia, known in Hungarian as Besztercebánya and in Slovak as Banská Bystrica.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Besztercebánya Target entity description: Besztercebánya is a historic mining and cultural city in central Slovakia, known in Hungarian as Besztercebánya and in Slovak as Banská Bystrica.
-
A.
Selmecbánya
Selmecbánya is the historical Hungarian name for Banská Štiavnica, a renowned medieval mining town and UNESCO World Heritage site in present-day central Slovakia.
-
B.
Egerszalók
Egerszalók is a Hungarian village famous for its thermal springs and striking terraced salt hill spa complex.
-
C.
Bonyhád
Bonyhád is a town in southern Hungary known as an important local center within Tolna County.
-
D.
Jászberény
Jászberény is a historic town in central Hungary known as a regional cultural and economic center of the Jászság area.
-
E.
Tatabánya
Tatabánya is an industrial city in northwestern Hungary known for its mining heritage and role as a regional economic center.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a49b1080819096593733ee48a187 |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a0e90e48190af6b802697d3256f |
completed | May 3, 2026, 8:40 a.m. |
| NEDg | Description generation | batch_69f70c42d5008190bcd6275054637448 |
completed | May 3, 2026, 8:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70ce60a7081908f9498fcfec98e90 |
completed | May 3, 2026, 8:52 a.m. |
Created at: April 8, 2026, 9:40 p.m.