Triple

T5728848
Position Surface form Disambiguated ID Type / Status
Subject Munich Philharmonic E126331 entity
Predicate cityOrchestraOf P3207 FINISHED
Object City of Munich E21335 NE FINISHED

How this triple was built (3 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: City of Munich | Statement: [Munich Philharmonic, cityOrchestraOf, City of Munich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Munich
Context triple: [Munich Philharmonic, cityOrchestraOf, City of Munich]
  • A. Munich chosen
    Munich is the capital and largest city of the German state of Bavaria, renowned for its rich cultural scene, historic architecture, and the annual Oktoberfest beer festival.
  • B. Stadt Nürnberg
    Stadt Nürnberg is the municipal government of the German city of Nuremberg, responsible for local administration, public services, and urban infrastructure.
  • C. Regensburg
    Regensburg is a historic city in southeastern Germany known for its well-preserved medieval old town on the Danube River.
  • D. Augsburg
    Augsburg is one of Germany’s oldest cities, a historic Bavarian center known for its rich Renaissance heritage and role as a major medieval trading hub.
  • E. Ingolstadt
    Ingolstadt is a historic city in southern Germany known for its medieval architecture, university tradition, and role as a major hub of the automotive industry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cityOrchestraOf
Context triple: [Munich Philharmonic, cityOrchestraOf, City of Munich]
  • A. cityOfVenue
    Indicates the city in which a given venue is located.
  • B. hasOrchestraType
    Indicates that an entity is associated with, or classified by, a specific type or category of orchestra.
  • C. performedWithOrchestra
    Indicates that a performance or musical work was carried out in collaboration with an orchestra.
  • D. hasSymphonyOrchestra
    Indicates that an entity possesses, hosts, or is associated with a symphony orchestra.
  • E. city2 chosen
    Indicates a relationship where one entity is identified as a city associated with, located in, or otherwise linked to another entity.
  • F. None of above.

Provenance (4 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_69c0082f723881908ce8bb13a0c0f8b7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029014588819094a2a0f6f9b66bab completed March 22, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1605f808190a45359e213354799 completed March 23, 2026, 2:11 a.m.
PD Predicate disambiguation batch_69c021c6488881909bed4a4534d57f70 completed March 22, 2026, 5:07 p.m.
Created at: March 22, 2026, 3:47 p.m.