Triple

T7030449
Position Surface form Disambiguated ID Type / Status
Subject Kapor Capital E163254 entity
Predicate investmentThesis P6778 FINISHED
Object closing gaps in access for underserved communities 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: closing gaps in access for underserved communities | Statement: [Kapor Capital, investmentThesis, closing gaps in access for underserved communities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: investmentThesis
Context triple: [Kapor Capital, investmentThesis, closing gaps in access for underserved communities]
  • A. investmentPhilosophy chosen
    Indicates the guiding principles or approach that an entity follows when making investment decisions.
  • B. investmentScope
    Indicates the range or boundaries of activities, assets, or sectors that an investment is intended or allowed to cover.
  • C. 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.
  • D. vestments
    Indicates that one entity is wearing or is ceremonially clothed in special religious or official garments associated with a role or office.
  • E. investmentType
    Indicates the specific category or nature of an investment associated with an entity or transaction.
  • 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_69c6885d691c81908cf7d31083113886 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e458ad9c81908c3f492b317ce291 completed March 27, 2026, 8:11 p.m.
PD Predicate disambiguation batch_69c6e1b9a2488190aea351d96afa5a12 completed March 27, 2026, 7:59 p.m.
Created at: March 27, 2026, 2:35 p.m.