Triple

T37942740
Position Surface form Disambiguated ID Type / Status
Subject Bikernieki forest E946528 entity
Predicate memorialSponsors P186117 FINISHED
Object Federal Republic of Germany 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: Federal Republic of Germany | Statement: [Bikernieki forest, memorialSponsors, Federal Republic of Germany]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: memorialSponsors
Context triple: [Bikernieki forest, memorialSponsors, Federal Republic of Germany]
  • A. sponsors
    Indicates that one entity provides financial or material support to another, often in exchange for association, promotion, or fulfillment of certain activities or goals.
  • B. commemoratesOrganization
    Indicates that one entity serves to honor, remember, or recognize an organization, typically due to its actions, contributions, or significance.
  • C. hasMemorial
    Indicates that a memorial exists in honor of, or dedicated to, a particular entity.
  • D. memorialManagedBy
    Indicates that the responsibility for overseeing, maintaining, or administering a memorial lies with a specified managing entity.
  • E. memorialCommissionedBy chosen
    Indicates that a memorial was formally ordered, initiated, or sponsored by a specific person or organization.
  • 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_69f76ef531ac8190ae6d99e5786e76ec completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbc995dc2481908b3bd4217f8101e7 completed May 6, 2026, 11:07 p.m.
PD Predicate disambiguation batch_69fbc8ee04f08190977b7ad70fc85896 completed May 6, 2026, 11:04 p.m.
Created at: May 3, 2026, 4:20 p.m.