Triple

T20556056
Position Surface form Disambiguated ID Type / Status
Subject Ludwigsvorstadt-Isarvorstadt E504722 entity
Predicate adjacentTo P224 FINISHED
Object Sendling
Sendling is a historic residential district in Munich, Germany, known for its mix of traditional architecture, local markets, and proximity to the city center.
 E1437511 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: Sendling | Statement: [Ludwigsvorstadt-Isarvorstadt, adjacentTo, Sendling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sendling
Context triple: [Ludwigsvorstadt-Isarvorstadt, adjacentTo, Sendling]
  • A. Servaas
    Servaas is the Dutch name for Saint Servatius of Tongeren-Maastricht, a 4th-century Christian bishop venerated as a patron saint in parts of the Low Countries.
  • B. Vargo
    Vargo is a surname most notably associated with Ed Vargo, an American Major League Baseball umpire.
  • C. Symbister
    Symbister is the principal village and harbour on the island of Whalsay in the Shetland Islands of Scotland.
  • D. Sitifis
    Sitifis was the Roman-era city and military colony that occupied the site of modern-day Sétif in northeastern Algeria.
  • E. Gaselee
    Gaselee is a surname most notably associated with British military officer Sir Alfred Gaselee, who led the international relief force during the Boxer Rebellion in China.
  • 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: Sendling
Triple: [Ludwigsvorstadt-Isarvorstadt, adjacentTo, Sendling]
Generated description
Sendling is a historic residential district in Munich, Germany, known for its mix of traditional architecture, local markets, and proximity to the city center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sendling
Target entity description: Sendling is a historic residential district in Munich, Germany, known for its mix of traditional architecture, local markets, and proximity to the city center.
  • A. Servaas
    Servaas is the Dutch name for Saint Servatius of Tongeren-Maastricht, a 4th-century Christian bishop venerated as a patron saint in parts of the Low Countries.
  • B. Vargo
    Vargo is a surname most notably associated with Ed Vargo, an American Major League Baseball umpire.
  • C. Symbister
    Symbister is the principal village and harbour on the island of Whalsay in the Shetland Islands of Scotland.
  • D. Sitifis
    Sitifis was the Roman-era city and military colony that occupied the site of modern-day Sétif in northeastern Algeria.
  • E. Gaselee
    Gaselee is a surname most notably associated with British military officer Sir Alfred Gaselee, who led the international relief force during the Boxer Rebellion in China.
  • 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a5dd02588190abddfcb868259a38 completed April 20, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08a576d990819099ac2858ea7df968 completed May 16, 2026, 5:12 p.m.
NEDg Description generation batch_6a08a68c08dc8190a09854800df82686 completed May 16, 2026, 5:17 p.m.
NED2 Entity disambiguation (via description) batch_6a08a7331cc88190a9ed6056e5743e69 completed May 16, 2026, 5:19 p.m.
Created at: April 16, 2026, 11:38 a.m.