Triple
T8415025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple A11 Bionic |
E198711
|
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 A11 Bionic, foundry, TSMC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TSMC Context triple: [Apple A11 Bionic, 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.
Asml
Asml is the rail code used to identify Amstelstation in the Dutch railway network.
-
C.
ASML
ASML is a Dutch multinational company that is the world’s leading manufacturer of advanced photolithography equipment used in semiconductor chip production.
-
D.
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.
-
E.
GlobalFoundries
GlobalFoundries is a major multinational semiconductor foundry that manufactures integrated circuits for a wide range of global technology companies.
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb83e443a08190983d9a0a61e0f781 |
completed | March 31, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea82225148190b9dd190655114c8a |
completed | April 2, 2026, 5:32 p.m. |
Created at: March 30, 2026, 6:06 p.m.