Triple
T2318501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple M2 Ultra |
E51120
|
entity |
| Predicate | foundry |
P5125
|
FINISHED |
| Object | TSMC |
E38958
|
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: TSMC | Statement: [Apple M2 Ultra, foundry, TSMC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TSMC Context triple: [Apple M2 Ultra, foundry, TSMC]
-
A.
TSMC
chosen
TSMC (Taiwan Semiconductor Manufacturing Company) is the world’s largest dedicated semiconductor foundry, renowned for producing cutting-edge chips for major technology companies.
-
B.
Micron Technology
Micron Technology is a leading American semiconductor company known for designing and manufacturing memory and storage solutions, including DRAM and NAND flash products used in computers, mobile devices, and data centers.
-
C.
Infineon Technologies
Infineon Technologies is a leading German semiconductor manufacturer known for its automotive, power, and security electronics solutions.
-
D.
SK hynix
SK hynix is a South Korean semiconductor company and one of the world’s leading manufacturers of memory chips, including DRAM and NAND flash.
-
E.
Qualcomm
Qualcomm is a leading American semiconductor and telecommunications company best known for designing Snapdragon mobile processors and developing key wireless technologies such as 3G, 4G, and 5G.
- 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_69a88b074b908190ae983dbca7757d88 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc62fa60c8190b4859ce296ea4177 |
completed | March 7, 2026, 6:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae8966cc0c819092ad299645b0aa71 |
completed | March 9, 2026, 8:48 a.m. |
Created at: March 4, 2026, 7:49 p.m.