Triple

T8973578
Position Surface form Disambiguated ID Type / Status
Subject Bethesda Orphanage E214326 entity
Predicate charitableFunction P56346 FINISHED
Object orphan care 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: orphan care | Statement: [Bethesda Orphanage, charitableFunction, orphan care]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: charitableFunction
Context triple: [Bethesda Orphanage, charitableFunction, orphan care]
  • A. hasCharitableFunction chosen
    Indicates that an entity performs or is designated to perform activities intended for charitable purposes or public benefit.
  • B. philanthropicInitiative
    Indicates an action or relationship where an entity undertakes or supports activities intended to promote the welfare of others, typically through charitable or socially beneficial efforts.
  • C. charityComponent
    Indicates that one entity functions as a charitable element, feature, or part within another entity or larger arrangement.
  • D. associatedCharity
    Indicates that one entity has a formal or recognized charitable affiliation or partnership with another entity.
  • E. philanthropicDonation
    Indicates that one entity voluntarily gives money, goods, or services to another entity for charitable or public-benefit purposes without expecting direct compensation.
  • 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_69ca839dbf608190a2f5990477115d29 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6783abe48190840e652fc2acf28f completed April 1, 2026, 12:32 a.m.
PD Predicate disambiguation batch_69cc5ed9a2d48190ad11381078e823b7 completed March 31, 2026, 11:55 p.m.
Created at: March 30, 2026, 7:02 p.m.