Triple

T7799607
Position Surface form Disambiguated ID Type / Status
Subject Bautzen E180394 entity
Predicate hasAlternativeName P39 FINISHED
Object Budyšin
Budyšin is the Upper Sorbian name for the historic town of Bautzen in eastern Germany, a cultural center of the Sorbian minority.
 E695533 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: Budyšin | Statement: [Bautzen, hasAlternativeName, Budyšin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Budyšin
Context triple: [Bautzen, hasAlternativeName, Budyšin]
  • A. Terikiai
    Terikiai is a village settlement located on the atoll of Tabiteuea in the island nation of Kiribati.
  • B. Budry
    Budry is a small village in northern Poland’s Warmian-Masurian Voivodeship, known for its rural character and proximity to the Masurian Lake District.
  • C. Babruysk
    Babruysk is a historic city in eastern Belarus known as a former major Jewish cultural center and regional industrial hub.
  • D. Laguboti
    Laguboti is a town in North Sumatra, Indonesia, known as a cultural and religious hub for the indigenous Batak Parmalim faith.
  • E. Alytus
    Alytus is a city in southern Lithuania known as a regional cultural and economic center on the banks of the Nemunas River.
  • 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: Budyšin
Triple: [Bautzen, hasAlternativeName, Budyšin]
Generated description
Budyšin is the Upper Sorbian name for the historic town of Bautzen in eastern Germany, a cultural center of the Sorbian minority.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Budyšin
Target entity description: Budyšin is the Upper Sorbian name for the historic town of Bautzen in eastern Germany, a cultural center of the Sorbian minority.
  • A. Terikiai
    Terikiai is a village settlement located on the atoll of Tabiteuea in the island nation of Kiribati.
  • B. Budry
    Budry is a small village in northern Poland’s Warmian-Masurian Voivodeship, known for its rural character and proximity to the Masurian Lake District.
  • C. Babruysk
    Babruysk is a historic city in eastern Belarus known as a former major Jewish cultural center and regional industrial hub.
  • D. Laguboti
    Laguboti is a town in North Sumatra, Indonesia, known as a cultural and religious hub for the indigenous Batak Parmalim faith.
  • E. Alytus
    Alytus is a city in southern Lithuania known as a regional cultural and economic center on the banks of the Nemunas River.
  • 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_69ca827e50cc8190a92a733577184938 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cae985d8f08190b38d9d6848a7dc83 completed March 30, 2026, 9:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb142117b48190bdc17677592bfa8f completed March 31, 2026, 12:24 a.m.
NEDg Description generation batch_69cb1a1414a08190912945cee30e6bc2 completed March 31, 2026, 12:49 a.m.
NED2 Entity disambiguation (via description) batch_69cb3843368881908d7c4d5a81c53a23 completed March 31, 2026, 2:58 a.m.
Created at: March 30, 2026, 4:32 p.m.