Triple
T2370849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tek |
E46085
|
entity |
| Predicate | marketedAs |
P1395
|
FINISHED |
| Object | Tektronix Tek |
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 Tek | Statement: [Tek, marketedAs, Tektronix Tek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tektronix Tek Context triple: [Tek, marketedAs, Tektronix Tek]
-
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.
Fluke Corporation
Fluke Corporation is a leading American manufacturer of electronic test tools and software, widely used in industrial, electrical, and calibration applications.
-
D.
Teledyne
Teledyne is an American industrial conglomerate known for its diversified operations in electronics, instrumentation, aerospace, and digital imaging technologies.
-
E.
Agilent Technologies
Agilent Technologies is a global company specializing in life sciences, diagnostics, and analytical laboratory instruments and services.
- 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_69a88a145268819083e2736cb835c696 |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc76f5aec8190867d621e6849258c |
completed | March 7, 2026, 6:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af905b6cfc8190a7c3b51f121cdb18 |
completed | March 10, 2026, 3:30 a.m. |
Created at: March 4, 2026, 7:56 p.m.