Triple

T37025033
Position Surface form Disambiguated ID Type / Status
Subject Gun Violence Memorial Project E916330 entity
Predicate receivesDonationsFrom P182284 FINISHED
Object loved ones of gun violence victims 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: loved ones of gun violence victims | Statement: [Gun Violence Memorial Project, receivesDonationsFrom, loved ones of gun violence victims]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: receivesDonationsFrom
Context triple: [Gun Violence Memorial Project, receivesDonationsFrom, loved ones of gun violence victims]
  • A. hasDonationsFrom chosen
    Indicates that an entity receives donations or contributions from another entity.
  • B. donates
    Indicates the act of voluntarily giving something of value, such as money, goods, or time, from one entity to another without expecting payment in return.
  • C. donorOf
    Indicates that one entity gives or contributes something (such as resources, organs, or materials) to another entity.
  • D. donatedWith
    Indicates that an entity made a donation using, accompanied by, or in association with a particular method, item, or context.
  • E. donatedToState
    Indicates that an entity has given or transferred something, such as money, goods, or assets, as a donation to a state or state-level governmental body.
  • 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_69f76e92c7648190bcfa277f64c71a21 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fcf36d2894819089b7db8e91b63c9d completed May 7, 2026, 8:17 p.m.
PD Predicate disambiguation batch_69fcf25c0a108190bfa823474098640b completed May 7, 2026, 8:13 p.m.
Created at: May 3, 2026, 4:14 p.m.