Triple

T29515710
Position Surface form Disambiguated ID Type / Status
Subject Panorama Museum Bad Frankenhausen E748789 entity
Predicate subjectOfMainPanorama P180333 FINISHED
Object German Peasants’ War NE NERFINISHED

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: German Peasants’ War | Statement: [Panorama Museum Bad Frankenhausen, subjectOfMainPanorama, German Peasants’ War]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: subjectOfMainPanorama
Context triple: [Panorama Museum Bad Frankenhausen, subjectOfMainPanorama, German Peasants’ War]
  • A. subjectOfTour
    Indicates that an entity serves as the main focus, destination, or theme of a tour.
  • B. subjectOfCatalog
    Indicates that something is the primary focus or entry described within a catalog or cataloging record.
  • C. panoramaDesigner
    Indicates a relationship where an entity is responsible for designing or creating panoramic views or panorama-related content for another entity or context.
  • D. subjectOfDescription
    Indicates that the subject is the main entity being described or characterized in a given context or statement.
  • E. panoramaCreatedFor
    Indicates that a panorama (a wide-angle composite image or view) has been generated or produced specifically for a particular entity or context.
  • F. None of above. chosen

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_69f0bd461c208190bec20bbf24e02cc5 completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f73ae120bc8190bff94d38d7a7a00d completed May 3, 2026, 12:09 p.m.
PD Predicate disambiguation batch_69f73a38d0848190aa5139144b8561c6 completed May 3, 2026, 12:06 p.m.
PDg Predicate description generation batch_69f73adfd9a081908adae6bd59dfefb9 completed May 3, 2026, 12:09 p.m.
Created at: April 28, 2026, 4:37 p.m.