Triple

T34784376
Position Surface form Disambiguated ID Type / Status
Subject German Singspiel E1002761 entity
Predicate hasTypicalVenue P25526 FINISHED
Object public theatre LITERAL FINISHED

How this triple was built (2 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: public theatre | Statement: [German Singspiel, hasTypicalVenue, public theatre]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTypicalVenue
Context triple: [German Singspiel, hasTypicalVenue, public theatre]
  • A. formerTypicalVenue
    Indicates that a location was once the usual or primary venue for an entity’s activities or events, but no longer serves in that typical role.
  • B. typicalVenueSetting
    Indicates the usual or characteristic type of venue or setting in which an event, activity, or interaction typically takes place.
  • C. isRegularVenueFor
    Indicates that a location is commonly or routinely used as the venue for a particular event, activity, or entity’s gatherings.
  • D. typicalVenues chosen
    Indicates that the specified locations are common or standard places where the associated activity, event, or entity usually occurs or is hosted.
  • E. hasVenueIn
    Indicates that an event, activity, or occurrence takes place at a specific venue located within a particular geographic area or location.
  • F. None of above.

Provenance (3 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_69f76db47d408190a24fc7164439ea2d completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69ff409ff5548190849c2d50e99bd807 completed May 9, 2026, 2:11 p.m.
PD Predicate disambiguation batch_69ff401a5e188190a72f945e910b4a6c completed May 9, 2026, 2:09 p.m.
Created at: May 3, 2026, 3:59 p.m.