Triple

T17235630
Position Surface form Disambiguated ID Type / Status
Subject Field of Mars, Saint Petersburg E418350 entity
Predicate functionChangedToMemorial P126492 FINISHED
Object after Russian Revolution 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: after Russian Revolution | Statement: [Field of Mars, Saint Petersburg, functionChangedToMemorial, after Russian Revolution]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: functionChangedToMemorial
Context triple: [Field of Mars, Saint Petersburg, functionChangedToMemorial, after Russian Revolution]
  • A. hasMemorial
    Indicates that a memorial exists in honor of, or dedicated to, a particular entity.
  • B. hasMemorialContext
    Indicates that something is related to, associated with, or situated within the context of a memorial or commemorative setting.
  • C. hasMemorialPractice
    Indicates that an entity engages in or is associated with a particular practice, ritual, or activity intended to commemorate or remember someone or something.
  • D. hasAdjacentMemorial
    Indicates that one memorial is located directly next to or in close proximity to another memorial.
  • E. memorialRole
    Indicates that an entity holds a specific role, capacity, or function in relation to a memorial or commemorative 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dfb04e481909f4ee3ed31fffe10 completed April 19, 2026, 1:20 a.m.
PD Predicate disambiguation batch_69e3832553ac819091aa917c84f755b6 completed April 18, 2026, 1:12 p.m.
PDg Predicate description generation batch_69e3873f62108190966c4e741ebd548d completed April 18, 2026, 1:29 p.m.
Created at: April 10, 2026, 5:39 a.m.