Triple

T25966178
Position Surface form Disambiguated ID Type / Status
Subject former Grand Hotel Esplanade E645674 entity
Predicate hasSurvivingPart P89335 FINISHED
Object Kaisersaal 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: Kaisersaal | Statement: [former Grand Hotel Esplanade, hasSurvivingPart, Kaisersaal]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSurvivingPart
Context triple: [former Grand Hotel Esplanade, hasSurvivingPart, Kaisersaal]
  • A. hasSurvivalElements
    Indicates that something includes features or conditions related to survival, such as resource management, threat avoidance, or sustaining life over time.
  • B. hasSurvivors
    Indicates that one or more entities continue to exist or remain alive after a particular event, condition, or incident.
  • C. hasSurvivingForm
    Indicates that an entity continues to exist in some enduring, preserved, or currently observable form.
  • D. hasSurvivingElement chosen
    Indicates that an entity retains at least one remaining or extant part, instance, or component that still exists.
  • E. hasLivingComponents
    Indicates that an entity includes or is composed of one or more living or biological components.
  • 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_69e77e85efc08190997da7fcf98bd300 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f6d6a6b04c8190bee4cf9c00665ef7 completed May 3, 2026, 5:01 a.m.
PD Predicate disambiguation batch_69f6d26ceb08819091c71c001e954936 completed May 3, 2026, 4:43 a.m.
Created at: April 22, 2026, 8:48 a.m.