Triple
T23341499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samsung Research America |
E591744
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Samsung global R&D network |
—
|
NE NERFINISHED |
How this triple was built (3 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: Samsung global R&D network | Statement: [Samsung Research America, partOf, Samsung global R&D network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samsung global R&D network Context triple: [Samsung Research America, partOf, Samsung global R&D network]
-
A.
Samsung Research America
Samsung Research America is the U.S.-based research and development arm of Samsung, focusing on advanced technologies in areas such as artificial intelligence, communications, and computer science.
-
B.
Samsung Engineering
Samsung Engineering is a South Korean multinational engineering, procurement, and construction (EPC) company specializing in large-scale industrial and infrastructure projects, particularly in the oil, gas, petrochemical, and power sectors.
-
C.
Samsung
Samsung is a South Korean multinational conglomerate best known globally for its smartphones, consumer electronics, and advanced semiconductor technologies.
-
D.
Samsung Electro-Mechanics
Samsung Electro-Mechanics is a South Korean company specializing in the development and manufacture of electronic components such as multilayer ceramic capacitors, camera modules, and semiconductor substrates.
-
E.
Samsung Group
Samsung Group is a South Korean multinational conglomerate best known globally for its consumer electronics, particularly smartphones, tablets, and televisions, as well as its significant presence in semiconductors and other industries.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Samsung global R&D network Target entity description: Samsung global R&D network is Samsung Electronics’ worldwide system of research and development centers that drive innovation in areas such as mobile, AI, semiconductors, and next-generation technologies.
-
A.
Samsung Research America
Samsung Research America is the U.S.-based research and development arm of Samsung, focusing on advanced technologies in areas such as artificial intelligence, communications, and computer science.
-
B.
Samsung Engineering
Samsung Engineering is a South Korean multinational engineering, procurement, and construction (EPC) company specializing in large-scale industrial and infrastructure projects, particularly in the oil, gas, petrochemical, and power sectors.
-
C.
Samsung
Samsung is a South Korean multinational conglomerate best known globally for its smartphones, consumer electronics, and advanced semiconductor technologies.
-
D.
Samsung Electro-Mechanics
Samsung Electro-Mechanics is a South Korean company specializing in the development and manufacture of electronic components such as multilayer ceramic capacitors, camera modules, and semiconductor substrates.
-
E.
Samsung Group
Samsung Group is a South Korean multinational conglomerate best known globally for its consumer electronics, particularly smartphones, tablets, and televisions, as well as its significant presence in semiconductors and other industries.
- F. None of above. chosen
Provenance (2 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f198329d9c8190992627afa9b54bed |
completed | April 29, 2026, 5:33 a.m. |
Created at: April 17, 2026, 5:18 p.m.