Triple

T741713
Position Surface form Disambiguated ID Type / Status
Subject T-MEC E15256 entity
Predicate alsoKnownAs P39 FINISHED
Object CUSMA E2693 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: CUSMA | Statement: [T-MEC, alsoKnownAs, CUSMA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CUSMA
Context triple: [T-MEC, alsoKnownAs, CUSMA]
  • A. USMCA chosen
    The USMCA (United States–Mexico–Canada Agreement) is a trilateral trade pact that modernized and replaced NAFTA, governing economic and trade relations among the U.S., Mexico, and Canada.
  • B. USTR
    USTR is the U.S. government agency responsible for developing and coordinating international trade policy and negotiating trade agreements on behalf of the United States.
  • C. GCC Customs Union
    The GCC Customs Union is a regional economic arrangement that harmonizes customs policies and facilitates the free movement of goods among the member states of the Gulf Cooperation Council.
  • D. World Customs Organization
    The World Customs Organization is an intergovernmental body that develops international customs standards and promotes cooperation among national customs administrations to facilitate trade and ensure border security.
  • E. FTA
    FTA is a U.S. government agency within the Department of Transportation that provides financial and technical assistance for public transportation systems nationwide.
  • 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_69a49358aa308190adbc9b5a0a2adcf9 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a60e286c81908787a41cf9b9f150 completed March 1, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69a64a63f9288190b86e4a75467acce0 completed March 3, 2026, 2:41 a.m.
Created at: March 1, 2026, 7:37 p.m.