Triple

T8200869
Position Surface form Disambiguated ID Type / Status
Subject Theater Krefeld und Mönchengladbach E191568 entity
Predicate hasVenueIn P81468 FINISHED
Object Krefeld E398502 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: Krefeld | Statement: [Theater Krefeld und Mönchengladbach, hasVenueIn, Krefeld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Krefeld
Context triple: [Theater Krefeld und Mönchengladbach, hasVenueIn, Krefeld]
  • A. Krefeld chosen
    Krefeld is a city in western Germany near the Rhine River, known historically for its textile and silk industry.
  • B. Düsseldorf
    Düsseldorf is a major German city on the Rhine River known for its fashion and art scenes, modern architecture, and status as an important economic and financial center.
  • C. Duisburg
    Duisburg is a major industrial and port city in western Germany’s Ruhr region, known for its steel production and one of the world’s largest inland harbors.
  • D. Remscheid
    Remscheid is a city in North Rhine-Westphalia, Germany, known historically for its metalworking industry and as the birthplace of physicist Wilhelm Röntgen.
  • E. Mülheim an der Ruhr
    Mülheim an der Ruhr is a city in western Germany’s Ruhr area, known for its industrial heritage, riverside setting on the Ruhr River, and role as a regional economic and cultural center.
  • 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: hasVenueIn
Context triple: [Theater Krefeld und Mönchengladbach, hasVenueIn, Krefeld]
  • A. hasVenueContext
    Indicates that an entity is associated with a particular venue or setting that provides contextual information about where it occurs or is situated.
  • B. hasVenueFunction
    Indicates that a venue serves a particular function or role (such as hosting events, performances, or specific activities).
  • C. hasPrincipalVenue
    Indicates that an entity has a primary or main venue where its activities, events, or operations predominantly take place.
  • D. hasAttachedVenue
    Indicates that one entity has another entity linked or associated with it as a venue.
  • E. hasHostedVenue
    Indicates that a particular venue has served as the location for hosting a specific event or activity.
  • 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_69ca82c6e9548190a4c5ca14516e4417 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb5df6e7548190846a1afd62ec6d0a completed March 31, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d583f75c819083cb0dcdf265d735 completed April 5, 2026, 3:22 a.m.
PD Predicate disambiguation batch_69cb36aac86081909b83636e352e0ced completed March 31, 2026, 2:51 a.m.
PDg Predicate description generation batch_69cb46635424819085d086972b264280 completed March 31, 2026, 3:58 a.m.
Created at: March 30, 2026, 5:43 p.m.