Triple

T27622213
Position Surface form Disambiguated ID Type / Status
Subject Mexican foreign trade E700607 entity
Predicate mainExportProducts P3026 FINISHED
Object auto parts LITERAL 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: auto parts | Statement: [Mexican foreign trade, mainExportProducts, auto parts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainExportProducts
Context triple: [Mexican foreign trade, mainExportProducts, auto parts]
  • A. exportProduct
    Indicates that an entity sends or sells a product from its own country or region to another country or external market.
  • B. majorExport chosen
    Indicates that something is a primary or significant export product or resource of a given entity (such as a country or region).
  • C. primaryExporter
    Indicates that one entity is the main or leading exporter of goods or services to another entity.
  • D. marketedProducts
    Indicates that an entity promotes, sells, or otherwise brings specific products to market.
  • E. exportedGood
    Indicates that a good has been sent out from one country or region to another as part of international trade.
  • F. None of above.

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_69ef6a4f1d9c8190b0705acda054368d completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f63894e5848190aec428392562ab06 completed May 2, 2026, 5:47 p.m.
PD Predicate disambiguation batch_69f6370c8c7c8190a02ea82847bb6e76 completed May 2, 2026, 5:40 p.m.
Created at: April 27, 2026, 2:15 p.m.