Triple
T12181989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sebeș |
E290242
|
entity |
| Predicate | historicalName |
P65
|
FINISHED |
| Object |
Szászsebes
Szászsebes is the historical Hungarian name for the Transylvanian town of Sebeș in present-day Romania, known for its medieval heritage and Saxon influences.
|
E1020653
|
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: Szászsebes | Statement: [Sebeș, historicalName, Szászsebes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Szászsebes Context triple: [Sebeș, historicalName, Szászsebes]
-
A.
Egerszalók
Egerszalók is a Hungarian village famous for its thermal springs and striking terraced salt hill spa complex.
-
B.
Zsupán
Zsupán is a wealthy, boisterous pig farmer and comic figure in Johann Strauss II’s operetta "Der Zigeunerbaron."
-
C.
Kolozsvar
Kolozsvár is the Hungarian name for Cluj-Napoca, a major cultural, academic, and economic center in northwestern Romania and the historical capital of Transylvania.
-
D.
Füzesabony
Füzesabony is a small town in northeastern Hungary known as a regional railway junction and gateway to the Bükk and Mátra regions.
-
E.
Mátészalka
Mátészalka is a town in northeastern Hungary known as a local administrative and economic center within the Northern Great Plain region.
- 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: Szászsebes Triple: [Sebeș, historicalName, Szászsebes]
Generated description
Szászsebes is the historical Hungarian name for the Transylvanian town of Sebeș in present-day Romania, known for its medieval heritage and Saxon influences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Szászsebes Target entity description: Szászsebes is the historical Hungarian name for the Transylvanian town of Sebeș in present-day Romania, known for its medieval heritage and Saxon influences.
-
A.
Egerszalók
Egerszalók is a Hungarian village famous for its thermal springs and striking terraced salt hill spa complex.
-
B.
Zsupán
Zsupán is a wealthy, boisterous pig farmer and comic figure in Johann Strauss II’s operetta "Der Zigeunerbaron."
-
C.
Kolozsvar
Kolozsvár is the Hungarian name for Cluj-Napoca, a major cultural, academic, and economic center in northwestern Romania and the historical capital of Transylvania.
-
D.
Füzesabony
Füzesabony is a small town in northeastern Hungary known as a regional railway junction and gateway to the Bükk and Mátra regions.
-
E.
Mátészalka
Mátészalka is a town in northeastern Hungary known as a local administrative and economic center within the Northern Great Plain region.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d915fd8dac8190928059ad2b6bbbf3 |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d5e476d48190b6d9fafa7fe1cb9f |
completed | May 3, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69f6d943a80c81909bc39b9a9ef303bd |
completed | May 3, 2026, 5:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6da1e56388190b536831b2c6d493f |
completed | May 3, 2026, 5:16 a.m. |
Created at: April 8, 2026, 9:50 p.m.