Triple

T7397587
Position Surface form Disambiguated ID Type / Status
Subject Public Law 102-166 E170659 entity
Predicate region P40 FINISHED
Object United States E14 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: United States | Statement: [Public Law 102-166, region, United States]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: United States
Context triple: [Public Law 102-166, region, United States]
  • A. United States of America chosen
    The United States of America is a large federal republic in North America known for its global political, economic, military, and cultural influence.
  • B. USA
    USA is the three-letter International Olympic Committee country code representing the United States of America in international sporting events.
  • C. USA
    USA is a public research university located in Mobile, Alabama, known for its diverse academic programs and regional impact in the Gulf Coast area.
  • D. Usan
    Usan is a small coastal village in Angus, Scotland, known for its fishing heritage and scenic North Sea shoreline.
  • E. EUA
    EUA (European University Association) is a major organization representing and supporting higher education institutions and national rectors’ conferences across Europe in areas such as policy, quality assurance, and institutional development.
  • 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_69c68a5f04188190ac266569c9280347 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f24abcd08190b8428fa22b2fbd4f completed March 27, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810b4a2fc8190bd1dd7dd8cac28c7 completed March 28, 2026, 5:32 p.m.
Created at: March 27, 2026, 3:09 p.m.