Triple

T20556244
Position Surface form Disambiguated ID Type / Status
Subject Theresa Meadow E504726 entity
Predicate locatedNear P294 FINISHED
Object Munich district of Ludwigsvorstadt-Isarvorstadt
The Munich district of Ludwigsvorstadt-Isarvorstadt is a central, densely populated borough known for its historic architecture, vibrant cultural and nightlife scene, and major attractions such as the Oktoberfest grounds at Theresienwiese.
E1439678 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: Munich district of Ludwigsvorstadt-Isarvorstadt | Statement: [Theresa Meadow, locatedNear, Munich district of Ludwigsvorstadt-Isarvorstadt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Munich district of Ludwigsvorstadt-Isarvorstadt
Context triple: [Theresa Meadow, locatedNear, Munich district of Ludwigsvorstadt-Isarvorstadt]
  • A. Munich (district)
    Munich (district) is a rural administrative district (Landkreis) in Upper Bavaria, Germany, surrounding but not including the city of Munich and comprising numerous towns and municipalities such as Garching.
  • B. Altstadt-Lehel district of Munich
    The Altstadt-Lehel district of Munich is the historic city center and adjacent riverside quarter known for its medieval streets, major landmarks, and cultural attractions.
  • C. Großhadern district of Munich
    The Großhadern district of Munich is a largely residential southwestern borough best known for hosting major medical and university facilities, including the Ludwig Maximilian University’s Großhadern campus and the University Hospital of Munich.
  • D. Maxvorstadt, Munich
    Maxvorstadt is a central Munich district known for its cultural institutions, universities, and museums, forming one of the city's key intellectual and artistic hubs.
  • E. Bogenhausen district
    Bogenhausen district is an upscale residential and cultural area in Munich known for its historic villas, embassies, and prominent boulevards.
  • 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: Munich district of Ludwigsvorstadt-Isarvorstadt
Triple: [Theresa Meadow, locatedNear, Munich district of Ludwigsvorstadt-Isarvorstadt]
Generated description
The Munich district of Ludwigsvorstadt-Isarvorstadt is a central, densely populated borough known for its historic architecture, vibrant cultural and nightlife scene, and major attractions such as the Oktoberfest grounds at Theresienwiese.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Munich district of Ludwigsvorstadt-Isarvorstadt
Target entity description: The Munich district of Ludwigsvorstadt-Isarvorstadt is a central, densely populated borough known for its historic architecture, vibrant cultural and nightlife scene, and major attractions such as the Oktoberfest grounds at Theresienwiese.
  • A. Munich (district)
    Munich (district) is a rural administrative district (Landkreis) in Upper Bavaria, Germany, surrounding but not including the city of Munich and comprising numerous towns and municipalities such as Garching.
  • B. Altstadt-Lehel district of Munich
    The Altstadt-Lehel district of Munich is the historic city center and adjacent riverside quarter known for its medieval streets, major landmarks, and cultural attractions.
  • C. Großhadern district of Munich
    The Großhadern district of Munich is a largely residential southwestern borough best known for hosting major medical and university facilities, including the Ludwig Maximilian University’s Großhadern campus and the University Hospital of Munich.
  • D. Maxvorstadt, Munich
    Maxvorstadt is a central Munich district known for its cultural institutions, universities, and museums, forming one of the city's key intellectual and artistic hubs.
  • E. Bogenhausen district
    Bogenhausen district is an upscale residential and cultural area in Munich known for its historic villas, embassies, and prominent boulevards.
  • 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_6a08b3ddd76c8190bf8a7ff3b2820188 completed May 16, 2026, 6:13 p.m.
NEDg Description generation batch_6a08b56160c88190902dd0d7ec7bbedf completed May 16, 2026, 6:20 p.m.
NED2 Entity disambiguation (via description) batch_6a08b5cfc3ac81908c62f48fa7a43aa2 completed May 16, 2026, 6:22 p.m.
Created at: April 16, 2026, 11:38 a.m.