Triple

T1709122
Position Surface form Disambiguated ID Type / Status
Subject Beaverton, Oregon E36936 entity
Predicate majorEmployer P588 FINISHED
Object Tektronix E7900 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: Tektronix | Statement: [Beaverton, Oregon, majorEmployer, Tektronix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tektronix
Context triple: [Beaverton, Oregon, majorEmployer, Tektronix]
  • A. Tektronix chosen
    Tektronix is an American company best known for designing and manufacturing electronic test and measurement equipment such as oscilloscopes and signal analyzers.
  • B. National Instruments
    National Instruments is an American company that develops automated test and measurement systems, best known for its LabVIEW graphical programming environment and modular instrumentation hardware.
  • C. Agilent Technologies
    Agilent Technologies is a global company specializing in life sciences, diagnostics, and analytical laboratory instruments and services.
  • D. Mentor Graphics
    Mentor Graphics is an American electronic design automation (EDA) company known for its software and hardware tools used to design and verify integrated circuits and electronic systems.
  • E. United Scientific Instruments
    United Scientific Instruments is a British optics company best known for producing military-grade optical sights and related precision instruments.
  • 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_69a88617439c819094ffb5d16a0f6307 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa63118618819085700fa84e362d60 completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8adb1b588190b93f9d28d27cab72 completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:30 p.m.