Triple

T30933174
Position Surface form Disambiguated ID Type / Status
Subject Fun Run E788048 entity
Predicate charityCauseInPlot P159646 FINISHED
Object rabies awareness 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: rabies awareness | Statement: [Fun Run, charityCauseInPlot, rabies awareness]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: charityCauseInPlot
Context triple: [Fun Run, charityCauseInPlot, rabies awareness]
  • A. charityCategory chosen
    Indicates the specific type or classification of charitable activity or purpose associated with an entity.
  • B. charityModel
    Indicates a relationship where an entity operates according to, or is characterized by, a particular model or framework for conducting charitable activities or philanthropy.
  • C. charitySingle
    Indicates that an entity makes a one-time charitable contribution or donation to another entity.
  • D. associatedCharity
    Indicates that one entity has a formal or recognized charitable affiliation or partnership with another entity.
  • E. charitySinglePurpose
    Indicates that a charity is established and operated for a single, specific charitable purpose rather than multiple distinct purposes.
  • 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_69f224c0b7fc819090cb89df60d23653 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f692e1aef48190b8ac1b2027013d94 completed May 3, 2026, 12:12 a.m.
PD Predicate disambiguation batch_69f68b7ec098819080480998038de940 completed May 2, 2026, 11:40 p.m.
Created at: April 29, 2026, 8:52 p.m.