Triple

T11067252
Position Surface form Disambiguated ID Type / Status
Subject Flame of Liberty E261656 entity
Predicate reasonForMemorialUse P62067 FINISHED
Object proximity to site of Princess Diana's fatal car crash 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: proximity to site of Princess Diana's fatal car crash | Statement: [Flame of Liberty, reasonForMemorialUse, proximity to site of Princess Diana's fatal car crash]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reasonForMemorialUse
Context triple: [Flame of Liberty, reasonForMemorialUse, proximity to site of Princess Diana's fatal car crash]
  • A. hasMotiveForCommemoration chosen
    Indicates that an entity has a specific reason or justification for commemorating another entity, event, or occasion.
  • B. memorialization
    Indicates the act of preserving the memory or honoring the legacy of someone or something, often through a dedicated object, event, or practice.
  • C. memorialScope
    Indicates the extent or boundaries of what is commemorated or covered by a memorial.
  • D. memorialWork
    Indicates that one entity is a commemorative work (such as a monument, plaque, or artwork) created to honor or remember another entity.
  • E. memorialType
    Indicates the specific kind or category of memorial associated with an entity (e.g., plaque, statue, monument).
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79920428c81908db824ab54e08e8d completed April 9, 2026, 12:18 p.m.
PD Predicate disambiguation batch_69d74411d9e881908c0eeafa0f38e4b6 completed April 9, 2026, 6:15 a.m.
Created at: April 8, 2026, 9:26 p.m.