Triple

T12559827
Position Surface form Disambiguated ID Type / Status
Subject NPR Foundation E295311 entity
Predicate invests P17330 FINISHED
Object endowment assets 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: endowment assets | Statement: [NPR Foundation, invests, endowment assets]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: invests
Context triple: [NPR Foundation, invests, endowment assets]
  • A. vestments
    Indicates that one entity is wearing or is ceremonially clothed in special religious or official garments associated with a role or office.
  • B. investment
    Indicates a relationship where one party allocates resources (such as money, time, or effort) into something with the expectation of future benefit or return.
  • C. investsIn chosen
    Indicates that one entity allocates resources, typically money or capital, into another entity with the expectation of future returns or benefits.
  • D. investmentType
    Indicates the specific category or nature of an investment associated with an entity or transaction.
  • E. investmentScope
    Indicates the range or boundaries of activities, assets, or sectors that an investment is intended or allowed to cover.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95f5507b481908d13cc317b7402f6 completed April 10, 2026, 8:36 p.m.
PD Predicate disambiguation batch_69d95410d0b0819097646edd1b837104 completed April 10, 2026, 7:48 p.m.
Created at: April 8, 2026, 11:48 p.m.