Triple
T7278951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intel AVX |
E163100
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | AVX |
E640423
|
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: AVX | Statement: [Intel AVX, abbreviation, AVX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AVX Context triple: [Intel AVX, abbreviation, AVX]
-
A.
AVX
chosen
AVX is an x86 instruction set extension that introduces advanced vector processing capabilities to accelerate floating-point and parallel computations.
-
B.
Kavlico Corporation
Kavlico Corporation is a technology company known for designing and manufacturing pressure, position, and force sensors for aerospace, industrial, and automotive applications.
-
C.
Molex
Molex is a global manufacturer of electronic, electrical, and fiber optic interconnection systems and components.
-
D.
Farnell
Farnell is a small rural village in the Angus council area of eastern Scotland, known for its agricultural surroundings and historic parish church.
-
E.
Avco
Avco is an American aerospace and manufacturing company historically involved in producing aircraft, aerospace components, and transportation equipment.
- 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_69c6885c5964819085b209701769877f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb3251808190bd9da71bc183c945 |
completed | March 27, 2026, 8:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db3450208190b67e4329a531ad0c |
completed | March 28, 2026, 1:44 p.m. |
Created at: March 27, 2026, 2:59 p.m.