Triple

T3317581
Position Surface form Disambiguated ID Type / Status
Subject Innere Stadt E69717 entity
Predicate borderedBy P224 FINISHED
Object Margareten
Margareten is the 5th district of Vienna, Austria, known as a densely populated, traditionally working-class area that has undergone significant urban renewal and gentrification.
E346712 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: Margareten | Statement: [Innere Stadt, borderedBy, Margareten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margareten
Context triple: [Innere Stadt, borderedBy, Margareten]
  • A. St. Margrethen
    St. Margrethen is a municipality in the canton of St. Gallen in northeastern Switzerland, located near the Austrian border along the Rhine River.
  • B. Freyung
    Freyung is a small town in southeastern Bavaria, Germany, known as a gateway to the Bavarian Forest region.
  • C. Mossenberg-Wöhren
    Mossenberg-Wöhren is a small village in North Rhine-Westphalia, Germany, known primarily as the birthplace of former German chancellor Gerhard Schröder.
  • D. Marieberg
    Marieberg is a small residential and institutional district on the island of Kungsholmen in central Stockholm, Sweden.
  • E. Grafenwerth
    Grafenwerth is a Rhine River island in Germany known as a recreational area with parks, swimming facilities, and scenic views near the town of Bad Honnef.
  • 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: Margareten
Triple: [Innere Stadt, borderedBy, Margareten]
Generated description
Margareten is the 5th district of Vienna, Austria, known as a densely populated, traditionally working-class area that has undergone significant urban renewal and gentrification.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Margareten
Target entity description: Margareten is the 5th district of Vienna, Austria, known as a densely populated, traditionally working-class area that has undergone significant urban renewal and gentrification.
  • A. St. Margrethen
    St. Margrethen is a municipality in the canton of St. Gallen in northeastern Switzerland, located near the Austrian border along the Rhine River.
  • B. Freyung
    Freyung is a small town in southeastern Bavaria, Germany, known as a gateway to the Bavarian Forest region.
  • C. Mossenberg-Wöhren
    Mossenberg-Wöhren is a small village in North Rhine-Westphalia, Germany, known primarily as the birthplace of former German chancellor Gerhard Schröder.
  • D. Marieberg
    Marieberg is a small residential and institutional district on the island of Kungsholmen in central Stockholm, Sweden.
  • E. Grafenwerth
    Grafenwerth is a Rhine River island in Germany known as a recreational area with parks, swimming facilities, and scenic views near the town of Bad Honnef.
  • 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_69ad85a0bb048190a5458d2738012d61 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb113cb6c8190989b06476f6015fd completed March 8, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3fd5440819092f6847e56c05ff8 completed March 12, 2026, 5:12 p.m.
NEDg Description generation batch_69b300abcbf88190bf05da60d8fb430b completed March 12, 2026, 6:06 p.m.
NED2 Entity disambiguation (via description) batch_69b3132087888190af901e2551ef777c completed March 12, 2026, 7:25 p.m.
Created at: March 8, 2026, 3:11 p.m.