Triple

T35097604
Position Surface form Disambiguated ID Type / Status
Subject Landhaus Klagenfurt E1012907 entity
Predicate locatedIn P40 FINISHED
Object Inner city of Klagenfurt
The Inner city of Klagenfurt is the historic central district of Klagenfurt, Austria, known for its preserved medieval and Renaissance architecture, cultural landmarks, and role as the city’s main administrative and commercial hub.
E2127255 NE FINISHED

How this triple was built (2 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: Inner city of Klagenfurt | Statement: [Landhaus Klagenfurt, locatedIn, Inner city of Klagenfurt]
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: Inner city of Klagenfurt
Triple: [Landhaus Klagenfurt, locatedIn, Inner city of Klagenfurt]
Generated description
The Inner city of Klagenfurt is the historic central district of Klagenfurt, Austria, known for its preserved medieval and Renaissance architecture, cultural landmarks, and role as the city’s main administrative and commercial hub.

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_69f76dd556248190808b4c4f43debebb completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78be7791c8190a7b013691c57c0c1 completed May 3, 2026, 5:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37d947bd9c8190b7b2b20ba85b6128 completed June 21, 2026, 12:29 p.m.
NEDg Description generation batch_6a37db928b508190af4f1c1285e80752 completed June 21, 2026, 12:39 p.m.
NED2 Entity disambiguation (via description) batch_6a37dc0c0a5081908ce1002b7181b433 completed June 21, 2026, 12:41 p.m.
Created at: May 3, 2026, 4:01 p.m.