Triple

T36332110
Position Surface form Disambiguated ID Type / Status
Subject Kaispeicher A E894677 entity
Predicate demolishedInPartFor P69414 FINISHED
Object construction of the Elbphilharmonie 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: construction of the Elbphilharmonie | Statement: [Kaispeicher A, demolishedInPartFor, construction of the Elbphilharmonie]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: demolishedInPartFor
Context triple: [Kaispeicher A, demolishedInPartFor, construction of the Elbphilharmonie]
  • A. demolishedAsPartOf chosen
    Indicates that one entity was demolished as a component or consequence of a larger demolition event or project involving another entity.
  • B. demolishedPortions
    Indicates that certain parts or sections of an object, structure, or entity have been destroyed or torn down.
  • C. demolishedWith
    Indicates that one entity was destroyed or torn down using another specified tool, method, or agent.
  • D. demolishedAfter
    Indicates that one entity was demolished at a point in time later than the demolition of another entity.
  • E. demolishedOrDestroyed
    Indicates that one entity has caused another entity to be torn down, ruined, or rendered unusable, typically through deliberate demolition or destructive force.
  • 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_69f76e4dcf088190a6c3216c209cab52 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7bb3ff1b08190802b1063d55d3923 completed May 3, 2026, 9:16 p.m.
PD Predicate disambiguation batch_69f7b9a611a081908dd6aec1df3f4d7f completed May 3, 2026, 9:09 p.m.
Created at: May 3, 2026, 4:09 p.m.