Triple

T13105640
Position Surface form Disambiguated ID Type / Status
Subject FSRS E310834 entity
Predicate dataFeedsInto P18354 FINISHED
Object USAspending.gov E1027275 NE FINISHED

How this triple was built (3 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: USAspending.gov | Statement: [FSRS, dataFeedsInto, USAspending.gov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: USAspending.gov
Context triple: [FSRS, dataFeedsInto, USAspending.gov]
  • A. USAspending.gov chosen
    USAspending.gov is the official U.S. government website that provides public access to detailed data on federal spending, including contracts, grants, loans, and other financial assistance.
  • B. Federal Procurement Data System
    The Federal Procurement Data System is a U.S. government database that tracks and reports information on federal contracts and procurement activities.
  • C. GovInfo.gov
    GovInfo.gov is a U.S. Government Publishing Office website that provides free public access to official federal government publications, including legislative, executive, and judicial documents.
  • D. Grants.gov
    Grants.gov is a centralized online portal where individuals and organizations can find and apply for U.S. federal government grants.
  • E. OpenSpending
    OpenSpending is an open data project and platform that collects, visualizes, and makes government and public financial information accessible and analyzable.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dataFeedsInto
Context triple: [FSRS, dataFeedsInto, USAspending.gov]
  • A. dataFeeds chosen
    Indicates that one entity supplies or streams data to another entity for use, processing, or analysis.
  • B. alsoFeeds
    Indicates that an entity, in addition to feeding some primary target, feeds another entity as well.
  • C. mainFeederOf
    Indicates that one entity serves as the primary source or supplier of resources, energy, or input to another entity.
  • D. feedsAccelerator
    Indicates that one entity supplies or directs input, resources, or power into an accelerator system for its operation.
  • E. feedsReservoir
    Indicates that one entity supplies or channels a flow (such as water or another resource) into a reservoir.
  • F. None of above.

Provenance (4 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98154c9f48190aeca779d97151759 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff07c7948190b4728e0e24b4cd76 completed May 3, 2026, 7:53 a.m.
PD Predicate disambiguation batch_69d98041a3548190a05ddd83dbb660fa completed April 10, 2026, 10:57 p.m.
Created at: April 9, 2026, 9:05 p.m.