Triple

T15989369
Position Surface form Disambiguated ID Type / Status
Subject Premal Shah E387783 entity
Predicate employer P7 FINISHED
Object Kiva.org E1187499 NE 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: Kiva.org | Statement: [Premal Shah, employer, Kiva.org]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiva.org
Context triple: [Premal Shah, employer, Kiva.org]
  • A. Kiva.org chosen
    Kiva.org is a nonprofit microfinance platform that enables people to lend small amounts of money to entrepreneurs and underserved communities around the world via the internet.
  • B. Grameen Fund
    Grameen Fund is a social investment and venture capital organization that finances innovative, poverty-focused enterprises, particularly in developing countries.
  • C. Grameen Trust
    Grameen Trust is a nonprofit organization that promotes and supports the replication of the Grameen microcredit model to alleviate poverty worldwide.
  • D. Aga Khan Agency for Microfinance
    The Aga Khan Agency for Microfinance is a development-focused financial institution that provides microcredit and related financial services to low-income communities, primarily in developing countries, to promote economic inclusion and poverty reduction.
  • E. LendingClub
    LendingClub is a U.S.-based financial services company best known for pioneering online peer-to-peer lending and later evolving into a digital bank offering personal loans and related financial products.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157829ec08190aa4a683e29a0148a completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf1cb1388190b1ebccc6705e5974 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:54 a.m.