Triple

T27463362
Position Surface form Disambiguated ID Type / Status
Subject Saint Landry of Paris E693111 entity
Predicate charitableActivities P159646 FINISHED
Object caring for the sick 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: caring for the sick | Statement: [Saint Landry of Paris, charitableActivities, caring for the sick]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: charitableActivities
Context triple: [Saint Landry of Paris, charitableActivities, caring for the sick]
  • A. areaOfCharitableActivity
    Indicates the specific domain or field in which a charitable organization conducts its activities or provides its services.
  • B. charityCategory chosen
    Indicates the specific type or classification of charitable activity or purpose associated with an entity.
  • C. refersToCharitableActivity
    Indicates that one entity is referencing, describing, or is associated with a charitable activity or act of giving.
  • D. 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.
  • E. associatedCharity
    Indicates that one entity has a formal or recognized charitable affiliation or partnership with another entity.
  • 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_69ef538105548190a771cc5a0cf8c211 completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f6383625cc8190aa223d8ef655743c completed May 2, 2026, 5:45 p.m.
PD Predicate disambiguation batch_69f63709e4848190b5cf322e06b23fb6 completed May 2, 2026, 5:40 p.m.
Created at: April 27, 2026, 12:51 p.m.