Triple

T6937840
Position Surface form Disambiguated ID Type / Status
Subject Palace of the Parliament E160596 entity
Predicate hasBallrooms P74384 FINISHED
Object yes 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: yes | Statement: [Palace of the Parliament, hasBallrooms, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBallrooms
Context triple: [Palace of the Parliament, hasBallrooms, yes]
  • A. ballroomSpace
    Indicates that one entity provides or constitutes a ballroom area or venue space for events or activities.
  • B. hasBallcourt
    Indicates that a place, structure, or site includes or is equipped with a ballcourt as one of its features.
  • C. hasBallpark
    Indicates that an entity possesses, is associated with, or includes a specific ballpark as part of its attributes or facilities.
  • D. hasBalletMaster
    Indicates that an entity is associated with or overseen by a specific ballet master responsible for its ballet-related training, direction, or instruction.
  • E. hasAuditorium
    Indicates that one entity possesses or includes an auditorium as part of its facilities.
  • 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_69c6884f3db4819080ad65da69386206 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e0c74fe48190aeaa018631e52ef6 completed March 27, 2026, 7:55 p.m.
PD Predicate disambiguation batch_69c6d7bd5a388190a57a96d925696ff6 completed March 27, 2026, 7:17 p.m.
PDg Predicate description generation batch_69c6e0c620f0819080e0ec49b36d4c30 completed March 27, 2026, 7:55 p.m.
Created at: March 27, 2026, 2:28 p.m.