Triple

T511944
Position Surface form Disambiguated ID Type / Status
Subject U.S. General Services Administration E10627 entity
Predicate hasPart P35 FINISHED
Object USAGov E667 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: USAGov | Statement: [U.S. General Services Administration, hasPart, USAGov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: USAGov
Context triple: [U.S. General Services Administration, hasPart, USAGov]
  • A. .gov
    .gov is the sponsored top-level domain primarily used by governmental entities in the United States.
  • B. usa.gov chosen
    usa.gov is the official U.S. government web portal that provides centralized access to government services, information, and resources for the public.
  • 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. GSA
    GSA is the commonly used abbreviation for the Golden Spikes Award, an annual honor recognizing the top amateur baseball player in the United States.
  • E. Office of E-Government and Information Technology
    The Office of E-Government and Information Technology is a U.S. federal office that leads government-wide efforts to improve digital services, IT management, and the use of technology to enhance public sector efficiency and transparency.
  • 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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f16768c081909d05537ff070868b completed Feb. 28, 2026, 1:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a49ebe662c8190acdbb8857283f7d1 completed March 1, 2026, 8:17 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.