Triple

T5608842
Position Surface form Disambiguated ID Type / Status
Subject Spital, Weitra, Austrian Empire E147301 entity
Predicate locatedIn P40 FINISHED
Object Weitra
Weitra is a historic small town in Lower Austria known for its medieval architecture and one of the oldest breweries in Austria.
E569713 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: Weitra | Statement: [Spital, Weitra, Austrian Empire, locatedIn, Weitra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weitra
Context triple: [Spital, Weitra, Austrian Empire, locatedIn, Weitra]
  • A. Kreuth
    Kreuth is a Bavarian municipality in southern Germany, known for its alpine landscape and location near Lake Tegernsee in the Bavarian Alps.
  • B. Rohrau
    Rohrau is a small Austrian village in Lower Austria best known as the birthplace of composer Joseph Haydn.
  • C. Wiesener
    Wiesener is a surname, likely of German origin, that serves as a variant spelling of the name Wiesner.
  • D. Neuötting
    Neuötting is a small Bavarian town in southeastern Germany known for its historic town center and location near the Austrian border.
  • E. Tirschenreuth
    Tirschenreuth is a town in northeastern Bavaria, Germany, known for its historic town center and surrounding lake and pond landscapes.
  • 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: Weitra
Triple: [Spital, Weitra, Austrian Empire, locatedIn, Weitra]
Generated description
Weitra is a historic small town in Lower Austria known for its medieval architecture and one of the oldest breweries in Austria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Weitra
Target entity description: Weitra is a historic small town in Lower Austria known for its medieval architecture and one of the oldest breweries in Austria.
  • A. Kreuth
    Kreuth is a Bavarian municipality in southern Germany, known for its alpine landscape and location near Lake Tegernsee in the Bavarian Alps.
  • B. Rohrau
    Rohrau is a small Austrian village in Lower Austria best known as the birthplace of composer Joseph Haydn.
  • C. Wiesener
    Wiesener is a surname, likely of German origin, that serves as a variant spelling of the name Wiesner.
  • D. Neuötting
    Neuötting is a small Bavarian town in southeastern Germany known for its historic town center and location near the Austrian border.
  • E. Tirschenreuth
    Tirschenreuth is a town in northeastern Bavaria, Germany, known for its historic town center and surrounding lake and pond landscapes.
  • 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_69c0090500f881908374285baf0ac46f completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020fe7ee0819088ced51afd9a4f93 completed March 22, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c124dc89a88190a219eda67e6d933c completed March 23, 2026, 11:32 a.m.
NEDg Description generation batch_69c129f2d84481908808481ba48a5aed completed March 23, 2026, 11:54 a.m.
NED2 Entity disambiguation (via description) batch_69c12a5235288190a8db827e1a610cd0 completed March 23, 2026, 11:56 a.m.
Created at: March 22, 2026, 3:39 p.m.