Triple
T10156415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Applied Materials |
E233786
|
entity |
| Predicate | competesWith |
P1375
|
FINISHED |
| Object | Tokyo Electron |
E616388
|
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: Tokyo Electron | Statement: [Applied Materials, competesWith, Tokyo Electron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tokyo Electron Context triple: [Applied Materials, competesWith, Tokyo Electron]
-
A.
Tokyo Electron
chosen
Tokyo Electron is a leading Japanese manufacturer of semiconductor production equipment and related technologies, serving major chipmakers worldwide.
-
B.
Lam Research
Lam Research is a leading American semiconductor equipment company that supplies wafer fabrication tools and services to chip manufacturers worldwide.
-
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.
Shimadzu Corporation
Shimadzu Corporation is a Japanese multinational company specializing in precision instruments, analytical and measuring equipment, and medical systems.
-
E.
Asml
Asml is the rail code used to identify Amstelstation in the Dutch railway network.
- 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_69ca848e80748190b91d1e04d35512c7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec3c47dc81909679903e6024eb49 |
completed | April 2, 2026, 4:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e65b9d4c8190b1f520ed08256372 |
completed | April 5, 2026, 10:46 p.m. |
Created at: March 30, 2026, 9:09 p.m.