Triple

T4649507
Position Surface form Disambiguated ID Type / Status
Subject Lindsay Corporation E102256 entity
Predicate brand P1500 FINISHED
Object Elecsys E238176 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: Elecsys | Statement: [Lindsay Corporation, brand, Elecsys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elecsys
Context triple: [Lindsay Corporation, brand, Elecsys]
  • A. Cobas
    Cobas is Roche's line of automated clinical laboratory analyzers and diagnostic systems widely used for blood testing and other in vitro diagnostics.
  • B. Alinity diagnostic systems
    Alinity diagnostic systems are Abbott Laboratories’ integrated platform of advanced clinical analyzers designed to streamline and automate a wide range of laboratory testing.
  • C. Beckman Coulter
    Beckman Coulter is a biomedical laboratory instrument and diagnostics company known for its analytical systems used in clinical and research settings worldwide.
  • D. Roche Diagnostics chosen
    Roche Diagnostics is a division of the Swiss healthcare company Roche that specializes in diagnostic systems, tests, and services for laboratories, hospitals, and patients worldwide.
  • E. Efficeon
    Efficeon is a family of low-power, x86-compatible microprocessors developed by Transmeta as the successor to its Crusoe line, aimed primarily at mobile and embedded computing devices.
  • 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_69bd43d71a308190afea7280841b0de8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6300a3fc8190b39ee96d756a748e completed March 20, 2026, 3:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfae3d8f4819082ec002bc4d9819d completed March 21, 2026, 1:56 a.m.
Created at: March 20, 2026, 1:14 p.m.