Triple

T22663950
Position Surface form Disambiguated ID Type / Status
Subject Marshall, Minnesota E559733 entity
Predicate hasMajorEmployer P588 FINISHED
Object Archer Daniels Midland NE NERFINISHED

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: Archer Daniels Midland | Statement: [Marshall, Minnesota, hasMajorEmployer, Archer Daniels Midland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Archer Daniels Midland
Context triple: [Marshall, Minnesota, hasMajorEmployer, Archer Daniels Midland]
  • A. Archer Daniels Midland chosen
    Archer Daniels Midland is a large American multinational food processing and commodities trading corporation.
  • B. Cargill
    Cargill is a large American privately held global food and agribusiness company involved in commodities trading, food production, and agricultural services.
  • C. ConAgra Foods
    ConAgra Foods is a major American packaged foods company known for producing and marketing a wide range of branded grocery and frozen food products.
  • D. Corn Products Refining Company
    Corn Products Refining Company was a major early 20th-century American agribusiness firm specializing in processing corn into starches, sweeteners, and other industrial and food products.
  • E. Bunge
    Bunge is the unicameral legislative body and main law-making institution of the United Republic of Tanzania.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454a158c819093b8e35f5045efb6 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f176617ed8819095a58a2c9f1e3918 completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 3:08 p.m.