Triple
T16372503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fremont, California |
E397597
|
entity |
| Predicate | hasMajorEmployer |
P588
|
FINISHED |
| Object | Lam Research |
E153652
|
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: Lam Research | Statement: [Fremont, California, hasMajorEmployer, Lam Research]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lam Research Context triple: [Fremont, California, hasMajorEmployer, Lam Research]
-
A.
Lam Research
chosen
Lam Research is a leading American semiconductor equipment company that supplies wafer fabrication tools and services to chip manufacturers worldwide.
-
B.
Applied Materials
Applied Materials is a leading American corporation that supplies equipment, services, and software for the manufacture of semiconductors and other advanced electronic components.
-
C.
Sematech
Sematech is a former U.S.-based semiconductor industry consortium that played a key role in advancing chip manufacturing technologies and standards through collaborative research among major chipmakers and government agencies.
-
D.
Asml
Asml is the rail code used to identify Amstelstation in the Dutch railway network.
-
E.
Tokyo Electron
Tokyo Electron is a leading Japanese manufacturer of semiconductor production equipment and related technologies, serving major chipmakers worldwide.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2ff4327248190a7c6bf01a81fd9b4 |
completed | April 18, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003561f83481909223c99bb83ebdf4 |
completed | May 10, 2026, 7:36 a.m. |
Created at: April 10, 2026, 5:08 a.m.